ABSTRACT
To support people enjoying exercises or learning performances at home such as Yoga poses or traditional dances, we have developed Exercise and Performance Learning Assistant System (EPLAS). In EPLAS, the user can practice it by following the model performance of the instructor in the video. Then, the key poses of the user will be rated as the feedback by comparing the keypoints between the instructor and the user that are extracted by OpenPose. We have provided the platform using the web browser. However, OpenPose needs to run on OS directly. We developed the EPLAS platform in this paper using Node.js as the web application server. When a user requests it via the browser, the rating function is immediately executed on the server. Furthermore, we employ use Docker to simply distribute the platform. We invited 10 Okayama University students to do various Yoga positions using the EPLAS for assessments, and the results verified the success of the deployment. © 2022 IEEE.
ABSTRACT
To assist practicing exercises or learning performances by themselves at home under pandemic of COVID-19, we have studied the Exercise and Performance Learning Assistant System (EPLAS) and implemented the user interface using a web browser for practicing Yoga poses. EPLAS offers a video content of model actions by an instructor to be followed by the user, and automatically takes the photos of the critical poses. Then, it rates each critical pose by differences of body key points extracted by OpenPose between the user photo and the instructor one. In this paper, we implement the EPLAS platform using Node.js as the web application server to run the rating function automatically on the server when it is requested on the browser. For evaluations, we asked 10 students in Okayama University to practice 10 Yoga poses using the interface, and confirmed its correctness. © 2022 IEEE.
ABSTRACT
Owing to the spread of the COVID-19 virus, the online meeting system has become popular. From the security point of view, the protection against information leakage is important, as confidential documents are often displayed on a screen to share the information with all participants through the screen sharing function. Some participants may capture their screen to store the displayed documents in their local devices. In this study, we focus on the filtering process and lossy compression applied to the video delivered over an online meeting system, and investigate the identification of screenshot images using deep learning techniques to analyze the distortion caused by such operations. In our experimental results for Zoom applications, we can obtain more than 92.5% classification accuracy even if the captured image is intentionally edited to remove the traces of screen capture. © 2022, IFIP International Federation for Information Processing.
ABSTRACT
Previously, we have studied the air-conditioning guidance system (AC-Guide) to optimize the use of AC in the room using the indoor/outdoor discomfort index. Currently, the epidemic of COVID-19 is spreading around the world, and the ventilation of the room becomes critical to avoid the infection, which should be properly guided together. In this paper, we study the ventilation guidance function using the measured CO2 density in AC-Guide. The opening/closing state of the door and window is automatically detected using the web camera, where the image processing procedures are newly implemented. Experiment results in an Okayama University building confirm the effectiveness. © 2022 IEEE.
ABSTRACT
Due to pandemic spreads of COVID-19 and increasing populations of seniors, exercises or performance practices at home have become important to maintain healthy lives around the world. World Health Organization (WHO) has announced the physical health determines the Quality of Life (QoL) of a human. Unfortunately, a lot of people have no exercise and may be in unhealthy conditions. In this paper, we propose an Exercise and Performance Learning Assistant System (EPLAS) to assist people practicing exercises or learning performances by themselves at home. EPLAS adopts inexpensive devices and free software for low-cost implementation. It offers a video content of model actions by an instructor to be followed by the user, where the reaction is rated by comparing the feature points of the human bodies extracted by an open-source software OpenPose. For evaluations, we conduct experiments of applying EPLAS with five Yoga poses to 41 persons in Indonesia, Japan, and Taiwan, and confirm the effectiveness of the proposal. © 2020 ASTES Publishers. All rights reserved.