Title :
A Wireless Sensory Feedback Device for Real-Time Gait Feedback and Training
Author :
Redd, Christian B. ; Bamberg, Stacy J Morris
Author_Institution :
Univ. of Utah, Salt Lake City, UT, USA
fDate :
6/1/2012 12:00:00 AM
Abstract :
This paper presents a new sensing and feedback system for a personal gait rehabilitation device based on wireless transmission of ambulation data for real-time sensory feedback for assistive healthcare. An integrated force-sensing insole was designed, using embedded force sensitive resistors that were sampled using a microprocessor, which then transmitted the data to an Android smartphone for presentation to the user. Experiments were performed to verify that the device captured accurate gait data, and was able to influence the gait of the subject. In addition, different sensory methods of feedback were tested to determine their individual efficacy at modulating the gait of study subject. The results show that the feedback system is capable of influencing the gait of the user, without the need for direct supervision by a rehabilitation specialist. In addition, a statistical analysis was performed to establish the reliability and repeatability of the system. From these results, this feedback system is established as a novel, inexpensive, and effective candidate for use in clinical rehabilitation of persons with gait abnormalities.
Keywords :
biomedical equipment; embedded systems; gait analysis; health care; microcomputers; patient rehabilitation; reliability; resistors; smart phones; statistical analysis; wearable computers; wireless sensor networks; Android smartphone; ambulation data; assistive healthcare; embedded force sensitive resistors; integrated force-sensing insole; microprocessor; personal gait rehabilitation device; real-time gait feedback; real-time gait training; rehabilitation specialist; sensory methods; statistical analysis; system reliability; system repeatability; wireless sensory feedback device; wireless transmission; Legged locomotion; Microcontrollers; Smart phones; Training; Visualization; Wireless communication; Wireless sensor networks; Gait rehabilitation; sensory feedback; wearable sensors;
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
DOI :
10.1109/TMECH.2012.2189014