AGH University of Science and Technology, Kraków 30-059, Poland.
J Healthc Eng. 2019 Jul 7;2019:9873430. doi: 10.1155/2019/9873430. eCollection 2019.
The aim of this paper is to choose the optimal motion sensor for the selected human activity recognition. In the described studies, different human motion measurement methods are used simultaneously such as optoelectronics, video, electromyographic, accelerometric, and pressure sensors. Several analyses of activity recognition were performed: recognition correctness for all activities together, matrices of the recognition errors of the individual activities for all volunteers for the individual sensors, and recognition correctness of all activities for each volunteer and each sensor. The experiments enabled to find a range of interchangeability and to choose the most appropriate sensor for recognition of the selected motion.
本文旨在为选定的人类活动识别选择最佳的运动传感器。在描述的研究中，同时使用了不同的人体运动测量方法，如光电、视频、肌电图、加速度计和压力传感器。对活动识别进行了几种分析：所有活动的识别正确率、所有志愿者针对各个传感器的各个活动的识别错误矩阵、以及每个志愿者和每个传感器对所有活动的识别正确率。实验能够找到可互换的范围，并为识别选定运动选择最合适的传感器。
