Evaluation of deep learning models in contactless human motion detection system for next generation healthcare.

ABSTRACT: Recent decades have witnessed the growing importance of human motion detection systems based on artificial intelligence (AI). The growing interest in human motion detection systems is the advantages of automation in the monitoring of patients remotely and giving warnings to doctors promptly. Currently, wearable devices are frequently used for human motion detection systems. However, such devices have several limitations, such as the elderly not wearing devices due to lack of comfort or forgetfulness and/or battery limitations. To overcome the problems of wearable devices, we propose an AI-driven human motion detection system (deep learning-based system) using channel state information (CSI) extracted from Radio Frequency (RF) signals. The main contribution of this paper is to improve the p

SUBMITTER: Song Y 

PROVIDER: S-EPMC9751145 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature