A wireless IoT system towards gait detection in stroke patients

Akm Jahangir A. Majumder, Yosuf Elsaadany, Mohammed Elsaadany, Donald R. Ucci, Farzana Rahman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Gait monitoring through the Internet of Things (IoT) is able to provide an overall assessment of daily living. All existing systems for predicting abnormality in gait mainly consider the gait related parameters. Their accuracy is limited because consequences due to injuries are significantly affected by different events in the gait. The objective of this study is to present a multisensory system that investigates walking patterns to predict a cautious gait in stroke patient. For this study, a smartphone built-in sensor and an IoT-shoe with a Wi-Fi communication module is used to discreetly monitor insole pressure and accelerations of the patient's motion. To the best of our knowledge, we are the first to use the gait spatiotemporal parameters implemented in smartphones to predict a cautious gait in a stroke patient. The proposed system can warn the user about their abnormal gait and possibly save them from forthcoming injuries from fear of falling.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages449-454
Number of pages6
ISBN (Electronic)9781509043385
DOIs
StatePublished - May 2 2017
Externally publishedYes
Event2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 - Kona, Big Island, United States
Duration: Mar 13 2017Mar 17 2017

Publication series

Name2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017

Conference

Conference2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
CountryUnited States
CityKona, Big Island
Period3/13/173/17/17

Keywords

  • Gait
  • IoT
  • Sensor
  • Smartphone
  • Stroke

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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