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Motion capture system using Wiimote motion sensors

Authors: Simeon D. Harbert; Jay Zuerndorfer; Tushar Jaiswal; Linda R. Harley;

Motion capture system using Wiimote motion sensors

Abstract

The purpose of this study is to examine the Wiimote MotionPlus system as a method to capture angular kinematic data of the knee, hip and back of a participant performing a lifting task. Twenty one subjects were recruited and asked to perform a lifting task while having four Wiimotes strapped to the lower leg, upper leg, and back at the hip and below the shoulder blades. The raw signals from the four Wiimotes were filtered and normalized before being combined to obtain the proper change in angular data. The results of the study demonstrate that it is feasible to combine the data from multiple Wiimotes to obtain kinematic data which may be used in ergonomic analysis.

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Keywords

Male, Leg, Lifting, Shoulder Joint, Monitoring, Ambulatory, Equipment Design, Actigraphy, Equipment Failure Analysis, Young Adult, Video Games, Humans, Female, Range of Motion, Articular, Algorithms

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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