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Journal of Biomedical Engineering ; (6): 174-178, 2020.
Artigo em Chinês | WPRIM | ID: wpr-788881

RESUMO

Human motion recognition (HAR) is the technological base of intelligent medical treatment, sports training, video monitoring and many other fields, and it has been widely concerned by all walks of life. This paper summarized the progress and significance of HAR research, which includes two processes: action capture and action classification based on deep learning. Firstly, the paper introduced in detail three mainstream methods of action capture: video-based, depth camera-based and inertial sensor-based. The commonly used action data sets were also listed. Secondly, the realization of HAR based on deep learning was described in two aspects, including automatic feature extraction and multi-modal feature fusion. The realization of training monitoring and simulative training with HAR in orthopedic rehabilitation training was also introduced. Finally, it discussed precise motion capture and multi-modal feature fusion of HAR, as well as the key points and difficulties of HAR application in orthopedic rehabilitation training. This article summarized the above contents to quickly guide researchers to understand the current status of HAR research and its application in orthopedic rehabilitation training.

2.
Chinese Journal of Behavioral Medicine and Brain Science ; (12): 1117-1119, 2015.
Artigo em Chinês | WPRIM | ID: wpr-488383

RESUMO

Objective To explore the relationship between resilience and personality among the physically disabled people.Methods A total of 668 disabled persons were tested by Connor-Davidson Resilience Scale(CD-RISC), Eysenck Personality Questionnaire Short Scale (EPQ-RSC), Rosenberg Self-Esteem Scale (SES).Results The score of resilience of disabled people(53.42± 18.18) was than lower Chinese community people (65.4 ± 13.9, t =-16.83, P< 0.05).The scores of the three sub-factors were tenacity (27.19 ± 10.23), strength (18.11 ±6.42) ,optimism(8.09±3.00).The disabled persons' resilience was positively correlated with self-esteem(r=0.52,P<0.01) ,extraversion(r=0.47, P<0.01) ,and negatively correlated with psychoticism(r=-0.34, P<0.01), neuroticism(r=-0.32, P<0.01).Self-esteem and extraversion could make positive predictions,while psychoticism and neuroticism could make negative predictions to the resilience of disabled persons.Conclusion The disabled Persons' personality is closely related with resilience and has significant predictions to resilience.

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