DocumentCode
3596309
Title
Design and implementation of an instrumented cane for gait recognition
Author
Wade, Joshua ; Beccani, Marco ; Myszka, Alec ; Bekele, Esubalew ; Valdastri, Pietro ; Flemming, Patricia ; de Riesthal, Michael ; Withrow, Thomas ; Sarkar, Nilanjan
Author_Institution
Electr. Eng. & Comput. Sci. Dept., Vanderbilt Univ., Nashville, TN, USA
fYear
2015
Firstpage
5904
Lastpage
5909
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.
Keywords
gait analysis; medical robotics; pattern classification; angular acceleration; assistive gait device prescription; automated gait analysis; cane placement; clinical assessment tool; gait pattern classification; gait recognition; gait training; independent mobility; instrumented cane; objective data; observation-based gait assessment; patient walking performance; physical therapists; plethora; quantitative data; standard walking cane embedded system; walking stick; wheeled walker; Acceleration; Accuracy; Force; Frequency-domain analysis; Legged locomotion; Microcontrollers; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICRA.2015.7140026
Filename
7140026
Link To Document