The SmartCane system: an assistive device for geriatrics

Authors:
Winston Wu;Lawrence Au;Brett Jordan;Thanos Stathopoulos;Maxim Batalin;William Kaiser;Alireza Vahdatpour;Majid Sarrafzadeh;Meika Fang;Joshua Chodosh
Affiliations:
University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;David Geffen School of Medicine at UCLA;David Geffen School of Medicine at UCLA
Venue:
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Year:
2008

Citing 2
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Abstract

Falls are currently a leading cause of death from injury in the elderly. The usage of the conventional assistive cane devices is critical in reducing the risk of falls and is relied upon by over 4 million patients in the U.S.. While canes provide physical support as well as supplementary sensing feedback to patients, at the same time, these conventional aids also exhibit serious adverse effects that contribute to falls. The falls due to the improper usage of the canes are particularly acute in the elderly and disabled where reduced cognitive capacity accompanied by the burden of managing cane motion leads to increased risk. This paper describes the development of the SmartCane assistive system that encompasses broad engineering challenges that will impact general development of individualized, robust assistive and prosthetic devices. The SmartCane system combines advances in signal processing, embedded computing, and wireless networking technology to provide capabilities for remote monitoring, local signal processing, and real-time feedback on the cane usage. This system aims to reduce risks of injuries and falls by enabling training and guidance of patients in proper usage of assistive devices.