Monitoring mobility disorders at home using 3D visual sensors and mobile sensors

Farnoush B. Kashani, Gerard Medioni, Khanh Nguyen, Luciano Nocera, Cyrus Shahabi, Ruizhe Wang, Cesar E. Blanco, Yi An Chen, Yu Chen Chung, Beth Fisher, Sara Mulroy, Philip Requejo, Carolee Winstein

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

3 Scopus citations


In this paper, we present PoCM2 (Point-of-Care Mobility Monitoring), a generic and extensible at-home mobility evaluation and monitoring system. PoCM2 uses both 3D visual sensors (such as Microsoft Kinect) and mobile sensors (i.e., internal and external sensors embedded with/connected to a mobile device such as a smartphone) for complementary data acquisition, as well as a series of analytics that allow evaluation of both archived and real-time mobility data. We demonstrate the performance of PoCM2 with a specific application developed for freeze detection and quantification from Parkinson's Disease mobility data, as an approach to estimate the medication level of the PD patients and potentially recommend adjustments.

Original languageEnglish (US)
Title of host publicationProceedings - Wireless Health 2013, WH 2013
PublisherAssociation for Computing Machinery
ISBN (Print)9781450322904
StatePublished - 2013
Externally publishedYes
Event4th Conference on Wireless Health, WH 2013 - Baltimore, MD, United States
Duration: Nov 1 2013Nov 3 2013

Publication series

NameProceedings - Wireless Health 2013, WH 2013


Conference4th Conference on Wireless Health, WH 2013
Country/TerritoryUnited States
CityBaltimore, MD

ASJC Scopus subject areas

  • Artificial Intelligence
  • Health Informatics


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