Paper Info
Title
A Wearable Real-Time Human Activity Recognition System Using Biosensors Integrated Into A Knee Bandage
Abstract
This work introduces an innovative wearable real-time Human Activity Recognition (HAR) system. The system processes and decodes various biosignals that are captured from biosensors integrated into a knee bandage. The presented work includes (1) the selection of an appropriate equipment in terms of devices and sensors to capture human activity-related biosignals in real time, (2) the experimental tuning of system parameters which balances recognition accuracy with real-time performance, (3) the intuitive visualization of biosignals as well as n-best recognition results in the graphical user interfaces, and (4) the on-the-air extensions for rapid prototyping of applications. The presented system recognizes seven daily activities: sit, stand, stand up, sit down, walk, turn left and turn right. The amount of activity classes to be recognized can be easily extended by the "plug-and-play" function. To the best of our knowledge, this is the first work which demonstrates a real-time HAR system using biosensors integrated into a knee bandage.
Year
DOI
Venue
2019
10.5220/0007398800470055
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 1 (BIODEVICES)
Keywords
Field
DocType
Biosensors, Biodevices, Human Activity Recognition, Rehabilitation Technology, Wearable Devices
Bandage,Activity recognition,Computer science,Wearable computer,Human–computer interaction,Artificial intelligence,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Hui Liu102.37
T. Schultz22423252.72