Human-Scale Motion Capture with an Accelerometer-Based Gaming Controller | Zendy

Sagar N. Purkayastha | Zendy; Michael D. Byrne | Zendy; Marcia K. O’Malley | Zendy

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Human-Scale Motion Capture with an Accelerometer-Based Gaming Controller

Author(s) -

Sagar N. Purkayastha,

Michael D. Byrne,

Marcia K. O’Malley

Publication year - 2013

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2013.p0458

Subject(s) - accelerometer , acceleration , motion capture , computer science , motion (physics) , motion analysis , position (finance) , computer vision , artificial intelligence , simulation , physics , operating system , finance , classical mechanics , economics

Gaming controllers are attractive devices for research due to their onboard sensing capabilities and low cost. However, a proper quantitative analysis regarding their suitability for motion capture has yet to be fully reported. In this paper, a detailed analysis of the accelerometers of the Nintendo Wiimote is presented. The gravity-compensated acceleration data from the accelerometers of the Wiimote were plotted, compared and correlated with computed acceleration data derived from a six-camera motion capture system. The results show high correlation and low mean absolute error between the gravity-compensated data from the accelerometers of the controllers and computed acceleration from position data of the motion capture system. From the results obtained, it can be inferred that the Wiimote is well suited for motion capture applications where post-processing of data is practical.

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