Paper Info
Title
Intention Detection and Gait Recognition (IDGR) System for Gait Assessment: A Pilot Study
Abstract
Gait abnormality is the most significant symptom in the neurologically affected patients. To improve their quality of life, it is important to complement and further enhance the existing qualitative gait analysis protocol with a technically sound quantitative paradigm. In this paper, we present a pilot study and the development of a wearable intention detection and gait recognition (IDGR) system. This system comprises a well-established integrated network of microcontrollers and sensors which acts as a diagnostic tool for gait correction. IDGR system provides real-time feedback of the temporal gait parameter on a user interface. Furthermore, this system classifies the subject's intention - standing still, walking or ascending the stairs using simple logic inherent to an individual's walking style. It offers reliable tools for functional assessment of the patient's progress by measuring physical parameters. We conducted an experiment on a healthy participant as a validation of our approach and proof-of-concept.
Year
DOI
Venue
2019
10.1109/RO-MAN46459.2019.8956299
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Keywords
Field
DocType
gait recognition system,gait assessment,gait abnormality,neurologically affected patients,existing qualitative gait analysis protocol,technically sound quantitative paradigm,wearable intention detection,gait correction,IDGR system,temporal gait parameter
Computer vision,Gait abnormality,Gait,Wearable computer,Computer science,Gait analysis,Microcontroller,Artificial intelligence,Physical medicine and rehabilitation,User interface,Stairs
Conference
ISSN
ISBN
Citations 
1944-9445
978-1-7281-2623-4
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Yogesh Singh100.34
Manan Kher200.34
Vineet Vashista300.34