NDLI: Design and implementation of an instrumented cane for gait recognition

Content Provider	IEEE Xplore Digital Library
Author	Wade, J. Beccani, M. Myszka, A. Bekele, E. Valdastri, P. Flemming, P. de Riesthal, M. Withrow, T. Sarkar, N.
Copyright Year	2015
Description	Author affiliation: Electr. Eng. & Comput. Sci. Dept., Vanderbilt Univ., Nashville, TN, USA (Wade, J.; Bekele, E.; Sarkar, N.) \|\| Mech. Eng. Dept., Vanderbilt Univ., Nashville, TN, USA (Beccani, M.; Myszka, A.; Valdastri, P.; Withrow, T.) \|\| Pi Beta Phi Rehabilitation Inst., Vanderbilt Univ., Nashville, TN, USA (Flemming, P.; de Riesthal, M.)
Abstract	Independent mobility is an important aspect of an individual's life and must sometimes be augmented by use of an assistive device such as a wheeled walker or cane following a fall, injury, or functional decline. Physical therapists perform functional gait assessments to gauge the probability of an individual experiencing a fall and often recommend use of a walker, cane, or walking stick to decrease fall risk. Our team has developed a clinical assessment tool centered on a standard walking cane embedded system that can enhance a therapist's observation-based gait assessment with use of additional objective and quantitative data. This system can be utilized to detect timing and speed of cane placement, angular acceleration of the cane, and amounts of weight borne on the cane. This system is designed to assist physical therapists at the basic level in collection of objective data during gait analysis, to facilitate appropriate assistive gait device prescription, to provide patients and therapists feedback during gait training, and to reduce wrist and shoulder injuries with cane usage. However, more importantly, using the plethora of objective data that can be obtained from this cane, automated gait analysis and gait pattern classification can be performed to understand a patient's walking performance.
Starting Page	5904
Ending Page	5909
File Size	842660
Page Count	6
File Format	PDF
e-ISBN	9781479969234
DOI	10.1109/ICRA.2015.7140026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Force Acceleration Frequency-domain analysis Accuracy Sensors Microcontrollers
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Wearable Acceleration Sensor System for Gait Recognition

Biofeedback cane for stroke patient

A wireless networked smart-shoe system for monitoring human locomotion

Gait analysis for human identification in frequency domain

A walking monitoring shoe system for simultaneous plantar-force measurement and gait-phase detection

Position-independent activity recognition model for smartphone based on frequency domain algorithm

Frequency content analysis of gait — Vertical ground reaction force

Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition

Performance of gait authentication using an acceleration sensor

Design and implementation of an instrumented cane for gait recognition

Similar Documents

A Wearable Acceleration Sensor System for Gait Recognition

Biofeedback cane for stroke patient

A wireless networked smart-shoe system for monitoring human locomotion

Gait analysis for human identification in frequency domain

A walking monitoring shoe system for simultaneous plantar-force measurement and gait-phase detection

Position-independent activity recognition model for smartphone based on frequency domain algorithm

Frequency content analysis of gait — Vertical ground reaction force

Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition

Performance of gait authentication using an acceleration sensor

Design and implementation of an instrumented cane for gait recognition