A Platform For Inertial Motion Capture And Modeling Of Human Movement
Abstract
In many aspects of medicine, there is a need for methods to convert human locomotion to data in a form that is amenable to mathematical processing and analysis. Most schemes involve the use of motion capture sensors. This paper presents the development of a platform for inertial motion capture and modeling of human movement. The hardware consists of micro sensor nodes and a base station. A sensor network was implemented to make the motion data from all the sensor nodes available at the base station from where it is wirelessly transmitted to a personal computer (PC) for processing. Each sensor has a sampling rate of 625 kHz. Wireless communication between the base station and the PC is achieved using the IEEE 802.15.4 protocol. Data acquired by the platform is processed using time series analysis with an autoregression moving-average model. Analysis of numerical data obtained from the prototype suggests that with calibration step implemented in software, the process of transforming human body motion into data can be done to a high degree of accuracy.
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