Title :
Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics
Author :
LeMoyne, Robert ; Mastroianni, Timothy ; Cozza, Michael ; Coroian, Cristian ; Grundfest, Warren
Author_Institution :
Biomed. Eng. IDP, UCLA, Los Angeles, CA, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
The capacity to quantify and evaluate gait beyond the general confines of a clinical environment under effectively autonomous conditions may alleviate rampant strain on limited and highly specialized medical resources. An iPhone consists of a three dimensional accelerometer subsystem with highly robust and scalable software applications. With the synthesis of the integral iPhone features, an iPhone application, which constitutes a wireless accelerometer system for gait quantification and analysis, has been tested and evaluated in an autonomous environment. The acquired gait cycle data was transmitted wireless and through email for subsequent post-processing in a location remote to the location where the experiment was conducted. The iPhone application functioning as a wireless accelerometer for the acquisition of gait characteristics has demonstrated sufficient accuracy and consistency.
Keywords :
accelerometers; biomedical measurement; biomedical telemetry; gait analysis; mobile handsets; autonomous environment; gait characteristics; iPhone; rampant strain; three dimensional accelerometer subsystem; wireless accelerometer; Acceleration; Accelerometers; Electronic mail; Sensors; Software; Wireless communication; Wireless sensor networks; gait; gait quantification; iPhone; iPhone application; locomotion; wireless accelerometer; Acceleration; Cellular Phone; Gait; Humans;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627699