[Abstract] A novel motion detecting strategy for rehabilitation in smart home

Abstract

Recent years have witnessed the flourish in research and development efforts towards clinical rehabilitation systems in smart home applications. One of the most prior is that such systems are needed to provide real-time motion information about patients. In this paper, a motion detecting approach is proposed for efficiently understanding the human movement on the foundation of the Internet of Things (IoT) based architecture. Specifically, the detection algorithm is based on the fuzzy neural network (FNN), which learns to detect the variation among different gait phases. The moving phases as well as the instability of the tester are identified for recognition. On the tasks of identifying the subject motion using wearable sensing devices, this model achieves a significant high accuracy. Experimental results prove that the system is feasible for application designs and could be implemented on technological platforms.

via A novel motion detecting strategy for rehabilitation in smart home – ScienceDirect

, , , , , , , ,

  1. Leave a comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: