Development of a Low-Cost Markerless Optical Motion Capture System for Gait Analysis and Anthropometric Parameter Quantification.

Technological advancements have expanded the range of methods for capturing human body motion, including solutions involving inertial sensors (IMUs) and optical alternatives. However, the rising complexity and costs associated with commercial solutions have prompted the exploration of more cost-effective alternatives. This paper presents a markerless optical motion capture system using a RealSense depth camera and intelligent computer vision algorithms. It facilitates precise posture assessment, the real-time calculation of joint angles, and acquisition of subject-specific anthropometric data for gait analysis. The proposed system stands out for its simplicity and affordability in comparison to complex commercial solutions. The gathered data are stored in comma-separated value (CSV) files, simplifying subsequent analysis and data mining. Preliminary tests, conducted in controlled laboratory environments and employing a commercial MEMS-IMU system as a reference, revealed a maximum relative error of 7.6% in anthropometric measurements, with a maximum absolute error of 4.67 cm at average height. Stride length measurements showed a maximum relative error of 11.2%. Static joint angle tests had a maximum average error of 10.2%, while dynamic joint angle tests showed a maximum average error of 9.06%. The proposed optical system offers sufficient accuracy for potential application in areas such as rehabilitation, sports analysis, and entertainment.

CYCLOPS: A cyclists' orientation data acquisition system using RGB camera and inertial measurement units (IMU).

This paper introduces CYCLOPS, an acquisition system developed to capture images and inertial measurement data of moving cyclists from a vehicle. The development of CYCLOPS addresses the need to acquire useful data for training machine learning models capable of predicting the motion intentions of cyclists on urban roads. Considering its application, it is a completely original development. The system consists of two devices. The first device is installed on the bicycle and is based on an electronic acquisition board comprising an inertial measurement unit (IMU), a microcontroller, and a transceiver for sending the cyclist's acceleration and orientation data to a vehicle. The second device is installed on the vehicle and uses the same board architecture to acquire the vehicle's accelerations and orientations, along with an RGB monocular camera. The data is stored in real-time in a laptop's drive for subsequent analysis and manipulation. The hardware architecture is presented in detail, including the designs to install the devices, for IMUs configuration, and software installation on the laptop. All design and software files required to develop the proposed system are available for download at: doi.org/10.17632/3yx5y8b7tm.1, licensed under the Open-source license CC BY 4.0.

A Novel Multi-Modal Teleoperation of a Humanoid Assistive Robot with Real-Time Motion Mimic.

This research shows the development of a teleoperation system with an assistive robot (NAO) through a Kinect V2 sensor, a set of Meta Quest virtual reality glasses, and Nintendo Switch controllers (Joycons), with the use of the Robot Operating System (ROS) framework to implement the communication between devices. In this paper, two interchangeable operating models are proposed. An exclusive controller is used to control the robot's movement to perform assignments that require long-distance travel. Another teleoperation protocol uses the skeleton joints information readings by the Kinect sensor, the orientation of the Meta Quest, and the button press and thumbstick movements of the Joycons to control the arm joints and head of the assistive robot, and its movement in a limited area. They give image feedback to the operator in the VR glasses in a first-person perspective and retrieve the user's voice to be spoken by the assistive robot. Results are promising and can be used for educational and therapeutic purposes.

A Kinematic Information Acquisition Model That Uses Digital Signals from an Inertial and Magnetic Motion Capture System.

This paper presents a model that enables the transformation of digital signals generated by an inertial and magnetic motion capture system into kinematic information. First, the operation and data generated by the used inertial and magnetic system are described. Subsequently, the five stages of the proposed model are described, concluding with its implementation in a virtual environment to display the kinematic information. Finally, the applied tests are presented to evaluate the performance of the model through the execution of four exercises on the upper limb: flexion and extension of the elbow, and pronation and supination of the forearm. The results show a mean squared error of 3.82° in elbow flexion-extension movements and 3.46° in forearm pronation-supination movements. The results were obtained by comparing the inertial and magnetic system versus an optical motion capture system, allowing for the identification of the usability and functionality of the proposed model.

Assessment of the Mechanical Support Characteristics of a Light and Wearable Robotic Exoskeleton Prototype Applied to Upper Limb Rehabilitation.

Robotic exoskeletons are active devices that assist or counteract the movements of the body limbs in a variety of tasks, including in industrial environments or rehabilitation processes. With the introduction of textile and soft materials in these devices, the effective motion transmission, mechanical support of the limbs, and resistance to physical disturbances are some of the most desirable structural features. This paper proposes an evaluation protocol and assesses the mechanical support properties of a servo-controlled robotic exoskeleton prototype for rehabilitation in upper limbs. Since this prototype was built from soft materials, it is necessary to evaluate the mechanical behavior in the areas that support the arm. Some of the rehabilitation-supporting movements such as elbow flexion and extension, as well as increased muscle tone (spasticity), are emulated. Measurements are taken using the reference supplied to the system's control stage and then compared with an external high-precision optical tracking system. As a result, it is evidenced that the use of soft materials provides satisfactory outcomes in the motion transfer and support to the limb. In addition, this study lays the groundwork for a future assessment of the prototype in a controlled laboratory environment using human test subjects.

Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques.

BACKGROUND: Using proper transfer technique can help to reduce forces and prevent secondary injuries. However, current assessment tools rely on the ability to subjectively identify harmful movement patterns. OBJECTIVES: The purpose of the study was to determine the accuracy of using a low-cost markerless motion capture camera and machine learning methods to evaluate the quality of independent wheelchair sitting pivot transfers. We hypothesized that the algorithms would be able to discern proper (low risk) and improper (high risk) wheelchair transfer techniques in accordance with component items on the Transfer Assessment Instrument (TAI). METHODS: Transfer motions of 91 full-time wheelchair users were recorded and used to develop machine learning classifiers that could be used to discern proper from improper technique. The data were labeled using the TAI item scores. Eleven out of 18 TAI items were evaluated by the classifiers. Motion variables from the Kinect were inputted as the features. Random forests and k-nearest neighbors algorithms were chosen as the classifiers. Eighty percent of the data were used for model training and hyperparameter turning. The validation process was performed using 20% of the data as the test set. RESULTS: The area under the receiver operating characteristic curve of the test set for each item was over 0.79. After adjusting the decision threshold, the precisions of the models were over 0.87, and the model accuracies were over 71%. CONCLUSION: The results show promise for the objective assessment of the transfer technique using a low cost camera and machine learning classifiers.

Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype.

The design and implementation of an electronic system that involves head movements to operate a prototype that can simulate future movements of a wheelchair was developed here. The controller design collects head-movements data through a MEMS sensor-based motion capture system. The research was divided into four stages: First, the instrumentation of the system using hardware and software; second, the mathematical modeling using the theory of dynamic systems; third, the automatic control of position, speed, and orientation with constant and variable speed; finally, system verification using both an electronic controller test protocol and user experience. The system involved a graphical interface for the user to interact with it by executing all the controllers in real time. Through the System Usability Scale (SUS), a score of 78 out of 100 points was obtained from the qualification of 10 users who validated the system, giving a connotation of "very good". Users accepted the system with the recommendation to improve safety by using laser sensors instead of ultrasonic range modules to enhance obstacle detection.

Wearable sensors in the diagnosis and study of Parkinson's disease symptoms: a systematic review.

Nowadays, there are several diseases which affect different systems of the body, producing changes in the correct functioning of the organism and the people lifestyles. One of them is Parkinson's disease (PD), which is defined as a neurodegenerative disorder provoked by the destruction of dopaminergic neurons in the brain, resulting in a set of motor and non-motor symptoms. As this disease affects principally to ancient people, several researchers have studied different treatments and therapies for stopping neurodegeneration and diminishing symptoms, to improve the quality patients' lives. The most common therapies created for PD are based on pharmacological treatment for controlling the degeneration advance and the physical ones which do not reveal the progress of patients. For this reason, this review paper opens the possibility for using wearable motion capture systems as an option for the control and study of PD. Therefore, it aims to (1) study the different wearable systems used for capture the movements of PD patients and (2) determine which of them bring better results for monitoring and assess PD people. For the analysis, it uses papers based on experiments that prove the functioning of several motion systems in different aspects as monitoring, treatment and diagnose of the disease. As a result, it works with 30 papers which describe the factors mentioned before. Additionally, the paper uses journals and literature review about the pathology, its characteristics and the function of wearable sensors for the correct understanding of the topic.

Analysis and evaluation of the systems used for the assessment of the cervical spine function: a systematic review.

Neck injuries and pathologies are widespread and cause disability. Clinicians use different tools to measure the cervical spine' mobility to diagnose different disorders. There are many reliable assessment methods for this purpose, but their benefits have not been deeply investigated and compared, as well as their measurement results. This review aims to summarise the advantages, accuracy, and reliability, of measurement tools and devices used in studies or trails related to the neck and cervical spine evaluation, to evidence the use of inertial sensors and compare them, to highlight the best assessment systems and their characteristics. A literature review has been performed in a range of five years, to obtain information about cervical spine evaluation. Studies that met the established inclusion criteria were selected and classified according their pathology studied, objectives and methodologies followed when evaluating the cervical spine functionality. Studies were described chronologically highlighting the tools employed, where the motion capture systems and cervical range of motion devices stood out as the most used and reliable methods. Cervical spine assessment studies employing systems with inertial sensors as an accurate method, is not evidenced in the sample. However, they are widely tested and different studies validate these systems for their clinical area use, obtaining high reliability and repeatability. Thereby, this review argues that inertial sensors have proven to be a portable, and easy to use tool for the evaluation of neck and its related pathologies, with a great accuracy level.

Preliminary evidence of an association between spontaneous kicking and learning in infants between 3-4 months of age.

BACKGROUND: The timing and coordination of infant kicking may allow for activities that facilitate learning and cognitive development. OBJECTIVE: This study examined spontaneous kicking and associations with changes in kicking during a learning paradigm in typically developing infants. METHODS: Ten healthy full-term infants participated in two experiments at 3 months of age: spontaneous kicking and the mobile paradigm. The inter-limb, intra-limb, and spatiotemporal parameters during spontaneous kicking were collected by 3D motion capture. Learning was measured in the mobile paradigm where an infant's leg was tethered to an overhead mobile. The mobile offered visual and auditory reinforcement when the infant kicked. Changes in kicking rate indicate learning. Friedman tests were used to determine the dominant inter-/intra-limb kicking patterns. Spearman's rank correlation coefficients were used to assess the correlations between spontaneous kicking and performance in the mobile paradigm. RESULTS: A significant negative correlation (r = -0.72, p = 0.03) was observed between the percentages of unilateral kicking and normalized kicking rate during the extinction phase of the paradigm. There was a trend of positive correlation (r = 0.58, p < 0.10) between dissociated hip-ankle joint coupling and the last three-minute of the acquisition phase of the paradigm. CONCLUSION: Exploratory kicking behaviors elicited by visual and auditory feedback may be related to lower extremity movement control. Enhancing movement experience through appropriate external feedback may be critical in treatment programs to support infant development. Future studies to assess how exploratory motor behaviors contribute to development in motor and other domains are warranted.

Aplicabilidade da captura de movimentos na pesquisa interdisciplinar de tecnologia assistiva: um relato de experiência / Applicability of motion capture in interdisciplinary research of assistive technology: a report of experience

Resumo Introdução A Tecnologia Assistiva (TA) é apontada como uma das soluções para proporcionar uma melhor funcionalidade e qualidade de vida às pessoas com doenças reumatológicas. Projetos interdisciplinares com foco em avaliar, indicar e desenvolver TA são importantes para os avanços na pesquisa e assistência clínica. A captura de movimento, por meio da instrumentação tecnológica, apresenta-se como um tema inovador por fornecer dados objetivos sobre o usuário. Mais estudos nessa área são necessários para conhecer as possibilidades de aplicação da instrumentação tecnológica em pesquisas de TA. Objetivo Descrever a aplicabilidade da captura de movimento, por meio de um equipamento de alta tecnologia, numa pesquisa interdisciplinar de TA para pacientes reumatológicos. Método Trata-se de Relato de Experiência, com uma abordagem qualitativa, no qual foi descrito as ações utilizando um equipamento tecnológico específico para captura de movimentos. Resultados Foi utilizada a captura de movimento com três finalidades: apoio educacional; avaliação de usabilidade de recursos de TA desenvolvidos; e suporte a grupos de estudo de terapeutas ocupacionais para análises de atividades. Conclusão Nas diferentes ações, a captura de movimento funcionou como um recurso complementar para as análises de atividades realizadas pelos terapeutas ocupacionais, o que contribuiu para a indicação, desenvolvimento e avaliação dos dispositivos de TA e para facilitar as orientações dadas no manual e nos grupos de orientação sobre Proteção Articular. O trabalho interdisciplinar foi o diferencial para o uso adequado do equipamento.

Abstract Introduction Assistive Technology (AT) is pointed as one of the possible solutions to offer better functionality and quality of life for people with rheumatological diseases. Interdisciplinary projects focused on assessing, indicating, and developing AT are important for advances in research and clinical care. Motion capture, through technological instrumentation, is an innovative theme for providing objective data about the user. Further studies in this area are needed to know the possibilities of applying technological instrumentation in AT research. Objective To describe the applicability of motion capture, using high-tech equipment, in an interdisciplinary AT research for rheumatological patients. Method It is an Experience Report, with a qualitative approach, in which the actions were described using specific technological equipment to motion capture. Results: Motion capture was used for three purposes: educational support; usability evaluation of AT resources developed; and support for study groups of occupational therapists to activity analysis. Conclusion In the different actions, the motion capture was used as a complementary resource for activities' analysis performed by occupational therapists, which contributed to the indication, development, and evaluation of AT devices and to facilitate the instructions provided in manual and in the guidance groups about Joint Protection. Interdisciplinary work was differentiated for the proper use of equipment.

Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.

The use of videogames and motion capture systems in rehabilitation contributes to the recovery of the patient. This systematic review aimed to explore the works related to these technologies. The PRISMA method (Preferred Reporting Items for Systematic reviews and Meta-Analyses) was used to search the databases Scopus, PubMed, IEEE Xplore, and Web of Science, taking into consideration four aspects: physical rehabilitation, the use of videogames, motion capture technologies, and upper limb rehabilitation. The literature selection was limited to open access works published between 2015 and 2020, obtaining 19 articles that met the inclusion criteria. The works reported the use of inertial measurement units (37%), a Kinect sensor (48%), and other technologies (15%). It was identified that 26% used commercial products, while 74% were developed independently. Another finding was that 47% of the works focus on post-stroke motor recovery. Finally, diverse studies sought to support physical rehabilitation using motion capture systems incorporating inertial units, which offer precision and accessibility at a low cost. There is a clear need to continue generating proposals that confront the challenges of rehabilitation with technologies which offer precision and healthcare coverage, and which, additionally, integrate elements that foster the patient's motivation and participation.

Evaluation of Inertial Sensor Data by a Comparison with Optical Motion Capture Data of Guitar Strumming Gestures.

Computing technologies have opened up a myriad of possibilities for expanding the sonic capabilities of acoustic musical instruments. Musicians nowadays employ a variety of rather inexpensive, wireless sensor-based systems to obtain refined control of interactive musical performances in actual musical situations like live music concerts. It is essential though to clearly understand the capabilities and limitations of such acquisition systems and their potential influence on high-level control of musical processes. In this study, we evaluate one such system composed of an inertial sensor (MetaMotionR) and a hexaphonic nylon guitar for capturing strumming gestures. To characterize this system, we compared it with a high-end commercial motion capture system (Qualisys) typically used in the controlled environments of research laboratories, in two complementary tasks: comparisons of rotational and translational data. For the rotations, we were able to compare our results with those that are found in the literature, obtaining RMSE below 10° for 88% of the curves. The translations were compared in two ways: by double derivation of positional data from the mocap and by double integration of IMU acceleration data. For the task of estimating displacements from acceleration data, we developed a compensative-integration method to deal with the oscillatory character of the strumming, whose approximative results are very dependent on the type of gestures and segmentation; a value of 0.77 was obtained for the average of the normalized covariance coefficients of the displacement magnitudes. Although not in the ideal range, these results point to a clearly acceptable trade-off between the flexibility, portability and low cost of the proposed system when compared to the limited use and cost of the high-end motion capture standard in interactive music setups.

Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras.

This paper proposes a low-cost portable electronic system for estimating step width during the human gait cycle. This device, intended to support the Walking Stance item of the fall risk assessment test Performance Oriented Mobility Assessment (POMA), contains three electronic boards, comprising two sensing nodes and a concentrator. Each sensing node contains a force sensitive resistor (FSR) and time-of-flight camera (TOF). Each FSR is placed inside the subject's shoe, while each TOF camera is located at the back of their foot. The FSR detects contact between heel and ground, and the TOF measures the distance to a barrier located on the right side of the walking path. Step width is calculated as the difference between the TOF measurements. After the walk is complete, the information obtained by the FSRs and TOFs is sent via a 433 MHz wireless communication to the concentrator board, which is connected to the USB port of a personal computer (PC). The proposed step width measurement system was validated with an infrared based motion capture (Vicon Corp.), giving an error equal to 11.4%  ±  5.5%.

Interpersonal Coordination: Methods, Achievements, and Challenges.

Research regarding interpersonal coordination can be traced back to the early 1960s when video recording began to be utilized in communication studies. Since then, technological advances have extended the range of techniques that can be used to accurately study interactional phenomena. Although such a diversity of methods contributes to the improvement of knowledge concerning interpersonal coordination, it has become increasingly difficult to maintain a comprehensive view of the field. In the present article, we review the main capture methods by describing their major findings, levels of description and limitations. We group them into three categories: video analysis, motion tracking, and psychophysiological and neurophysiological techniques. Revised evidence suggests that interpersonal coordination encompasses a family of morphological and temporal synchronies at different levels and that it is closely related to the construction and maintenance of a common social and affective space. We conclude by arguing that future research should address methodological challenges to advance the understanding of coordination phenomena.

Validation of the imperial college surgical assessment device for spinal anesthesia.

BACKGROUND: Traditionally, technical proficiency for spinal anesthesia has been assessed using observational scales such as global rating scales or task specific checklists. However more objective metrics are required in order to improve novice's training programs. The aim of this study is to validate the hand motion analysis of the Imperial College Surgical Assessment Device (ICSAD) in a simulated model of spinal anesthesia. METHODS: Three groups of physicians with different levels of experience were video recorded performing a spinal anesthesia in a simulated lumbar puncture torso. Participants' technical performance was assessed with ICSAD, a Global Rating Scale (GRS) and a specific Checklist. Differences between the 3 groups were determined by Kruskal-Wallis test with post hoc Dunn's correction for multiple comparisons. Spearman correlation coefficient between ICSAD variables and the scores of the observational scales were calculated to establish concurrent validity. RESULTS: Thirty subjects participated in the study: ten novice (first year residents), 10 intermediate (third year residents) and 10 experts (attending anesthesiologists). GRS scores were significantly higher in experts, than intermediates and novices. Regarding total path length, number of movements and procedural time measured with ICSAD, all groups had significant differences between them (p = 0.026, p = 0.045 and p = 0.005 respectively). Spearman correlation coefficient was -0,46 (p = 0.012) between total path length measured with ICSAD and GRS scores. CONCLUSIONS: This is the first validation study of ICSAD as an assessment tool for spinal anesthesia in a simulated model. Using ICSAD can discriminate proficiency between expert and novices and correlates with previously validated GRS. Its use in the assessment of spinal anesthesia proficiency provides complementary data to existing tools. Our results could be used to design future training programs with reliable goals to accomplish.

A simple, reliable method to determine the mean gait speed using heel markers on a treadmill.

Gait speed is an essential parameter of gait analysis. Our study proposed a simple and accurate method to extract a mean gait speed during walking on a treadmill using only kinematic data from markers placed on the heels of the participants' feet. This method provided an attractive, simple method that remains resistant to errors in treadmill calibration. In addition, this method required only two markers, since heel markers are essential to gait analysis, and the proposed method is robust enough to differentiate among various gait speeds (mean error <1%).

Estudo comparativo prospectivo para a avaliação da reabilitação de usuários de próteses com amputações transtibiais / Prospective comparative study for the evaluation of prosthetic rehabilitation users with transtibial amputation

Resumo Indivíduos com amputações transtibiais apresentam dificuldades em realizar marcha e manter-se em equilíbrio, afetando diretamente a sua qualidade de vida. A utilização de próteses pode possibilitar a reabilitação do indivíduo, mas questiona-se o quão eficiente são para determinadas tarefas e como ainda podem melhorar. Objetivando avaliar as próteses para amputações transtibiais, foi realizado um estudo comparativo com dois grupos: Amputados e NÃO Amputados. Com o auxílio da tecnologia de Captura de Movimentos, realizou-se mensuração dos ângulos de equilíbrio estático, velocidade de marcha e pontuações na execução de atividades diárias. Os resultados indicam que as maiores dispersões dos ângulos de equilíbrio estático pertencem ao grupo de amputados. Em relação às médias de Velocidade de Marcha e nas pontuações das Atividades Diárias, constatou-se melhor desempenho para o grupo dos NÃO amputados. A partir disso, foi identificado ainda que as características técnicas das próteses transtibiais podem impactar na reabilitação de seus usuários.

Abstract Individuals with transtibial amputations have difficulties in performing march and stay in balance, directly affecting their quality of life. The use of prostheses can enable the rehabilitation of the individual, but we question how effective are for certain tasks and how they can still improve. To evaluate the prosthesis for transtibial amputation, a comparative study was conducted with two groups: Amputee and NOT Amputees. With the help of Motion Capture technology was held measuring the angles of static balance, walking speed and scores in the execution of daily activities. The results indicate that dispersions of larger static equilibrium angles belonging to the group amputees. In terms of average speed march and in scores of Daily Activities, there was better performance for the group of NOT amputees. From this it was also identified that the technical characteristics of transtibial prosthetic could impact rehabilitation of its members.

Comparación de dos Sistemas de Captura de Movimiento por medio de las Trayectorias Articulares de Marcha / Comparison of two Motion Capture Systems by means of joint Trajectories of human gait

Resumen: En la actualidad, los métodos más comunes para una adecuada captura del movimiento humano en tres dimensiones requieren de un entorno de laboratorio y la fijación de marcadores, accesorios o sensores a los segmentos corporales. Sin embargo, el alto costo de estos equipos es un factor limitante en diversos entornos de trabajo. Sistemas de captura de movimiento como Microsoft Kinect TMpresentan un enfoque alternativo a la tecnología de captura de movimiento. En este trabajo se comparan dos sistemas de captura de movimiento por medio de las trayectorias articulares y las medidas antropométricas de una persona en un ciclo de marcha normal. El primero de ellos, es un sistema comercial de precisión que utiliza marcadores (Vicon TM) y el segundo, es la cámara Microsoft KinectTM. Ambos sistemas se evaluaron con el propósito de comparar la diferencia geométrica y el error RMS entre las trayectorias articulares de la marcha humana obtenidas por cada uno de los sistemas. Los resultados muestran una varianza mayor en las medidas antropométricas y trayectorias articulares para el Kinect, aunque este sistema es de bajo costo y de fácil uso e instalación, no puede ser utilizado para un análisis preciso de la cinemática de la marcha humana.

Abstract: Currently, the most common methods for proper capture of human movement in three dimensions require a laboratory environment and setting markers, accessories or sensors to the body segments. However, the high cost of equipment is a limiting factor in diverse environments. Motion capture systems such as Microsoft KinectTM present an alternative approach to motion capture technology. In this paper, two motion capture systems are compared by means of joint trajectories and anthropometric Currently, the most common methods for proper capture of human movement in three dimension measurements of a person in a normal gait cycle. The first is accurate trading system that uses markers (ViconTM), and the second is Microsoft KinectTM camera. Both systems were evaluated in order to compare the geometric difference and the RMS error between the joint trajectories for Kinct, although this system is inexpressive and easy to use and install, cannot be used for precise kinematic analysis of human walking.

Evaluación de riesgos de manipulación repetitiva a alta frecuencia basada en análisis de esfuerzos dinámicos en las articulaciones sobre modelos humanos digitales / Risk assessment of high frequency repetitive handling based on dynamic stress analysis in joints of Digital human Models

El nuevo método desarrollado está dirigido a evaluar el riesgo derivado de la realización de tareas repetitivas a alta frecuencia. Utiliza un sistema de captura de movimiento basado en sensores inerciales, utilizable en los propios puestos de trabajo, que nos permite trasladar el movimiento a un modelo biomecánico de antropometría similar al sujeto observado. Incorpora un motor de cálculo de esfuerzos en las articulaciones, que tiene en cuenta las dimensiones antropométricas, las fuerzas externas, las reacciones en los puntos de apoyo, así como las fuerzas de inercia derivadas de las aceleraciones lineales y angulares alcanzadas durante la tarea. El resultado es un método predictivo de riesgo musculoesquelético que, a diferencia de otros métodos que requieren un trabajo muy minucioso (UNE 1005-3) a la hora de definir las acciones técnicas, reduce drásticamente el proceso de análisis ya que el proceso es automático, y no está influenciado por la subjetividad del evaluador.

The new method developed is aimed at assessing the risk from repetitive tasks at high frequency. It uses a motion capture system based on inertial sensors for use in their own jobs, which allows us to transfer the movement to a biomechanical model similar to the observed subject anthropometry. Incorporates a calculation engine of efforts in joints, considerating the anthropometric dimensions, external forces, the reactions in the support points, as well as the inertial forces arising from linear and angular accelerations encountered during the task. The result is a musculoskeletal risk predictive method which, unlike other methods that require a very thorough job (UNE 1005-3) for defining the technical actions, dramatically reduces the analysis process because the process is automated, and is not influenced by the subjectivity of the evaluator.