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

Farnoush B. Kashani, Beth Fisher, Sara Mulroy, Philip Requejo, Carolee Winstein, Gerard Medioni, Khanh Nguyen, Luciano Nocera, Cyrus Shahabi, Ruizhe Wang, Cesar E. Blanco, Yi-An Chen (+1 others)
2013 Proceedings of the 4th Conference on Wireless Health - WH '13  
In this paper, we present PoCM 2 (Point-of-Care Mobility Monitoring), a generic and extensible at-home mobility evaluation and monitoring system. PoCM 2 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
more » ... PoCM 2 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.
doi:10.1145/2534088.2534097 dblp:conf/wh/KashaniMNNSWBCCFMRW13 fatcat:md5psua4tjedfhbhmkd6kngp6y