There are many techniques focused on capturing the kinematic movement of the human body, all these techniques help in the creation of robotic devices to achieve efficient rehabilitation, many studies provide information that helps the researcher, but these are scattered, each proposing different characteristics, solutions, and methods to obtain body movements. Based on this, the objective is to provide the researcher with a structured matrix that integrates different studies related to the capture of the kinematic movement of the human body, this will allow him to evaluate alternatives where he can choose, analyze the study or characteristics that best contribute to his research topic. As methods, specialized search engines were used that helped structure the matrix. Currently, there is little information on capturing human kinematic movements, through the interaction of different sensors so it was also incorporated into the matrix, also in the proposals is considered captured movements, recognition method, sensor, treatment, and application. In conclusion, the article will provide information to people who want to create robotic devices such as exoskeletons, prostheses, or different suits that help the rehabilitation of the human body. Where it is important to have accuracy in obtaining body movement patterns.
|Original language||American English|
|Title of host publication||2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022|
|Editors||Satyajit Chakrabarti, Rajashree Paul, Bob Gill, Malay Gangopadhyay, Sanghamitra Poddar|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Indexed - 2022|
|Event||2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022 - Toronto, Canada|
Duration: 1 Jun 2022 → 4 Jun 2022
|Name||2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022|
|Conference||2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022|
|Period||1/06/22 → 4/06/22|
Bibliographical notePublisher Copyright:
© 2022 IEEE.
- Kinematic movement
- Motion capture