Change-of-state determination to recognize mobility activities using a BlackBerry smartphone

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:5252-5. doi: 10.1109/IEMBS.2011.6091299.

Abstract

A Wearable Mobility Monitoring System (WMMS) can be a useful tool for rehabilitation decision-making. This paper presents preliminary design and evaluation of a WMMS proof-of-concept system. Software was developed for the BlackBerry 9550, using the integrated three axes accelerometer, GPS, video camera, and timer to identify mobility changes-of-state (CoS) between static activities, walking-related activities, taking an elevator, bathroom activities, working in the kitchen, and meal preparation (five able-bodied subjects). This pilot project provides insight into new algorithms and features that recognize CoS and activities in real-time. Following features extraction from the sensor data, two decision trees were used to distinguish the CoS and activities. Real-time CoS identification triggered BlackBerry video recording for improved mobility context analysis during post-processing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acceleration*
  • Actigraphy / instrumentation*
  • Cell Phone*
  • Equipment Design
  • Equipment Failure Analysis
  • Geographic Information Systems / instrumentation*
  • Humans
  • Monitoring, Ambulatory / instrumentation*
  • Motor Activity / physiology*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted / instrumentation
  • Sound Spectrography / instrumentation
  • Telemetry / instrumentation*