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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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Volume 5, issue 2
J. Sens. Sens. Syst., 5, 419–431, 2016
https://doi.org/10.5194/jsss-5-419-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
J. Sens. Sens. Syst., 5, 419–431, 2016
https://doi.org/10.5194/jsss-5-419-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Regular research article 13 Dec 2016

Regular research article | 13 Dec 2016

Advanced information processing of MEMS motion sensors for gesture interaction

Yin Ling Yin Ling
  • Department of Music Acoustics, University of Music and Performing Arts Vienna, Vienna, 1030, Austria

Abstract. Sensor-based gesture interaction technology has been widely adopted in consumer electronics. Nevertheless, bias, drift, and noise existing in sensor signals are difficult to eliminate, and accurate movement trajectory information is still needed to achieve flexible interaction application. This paper presents micro-electro-mechanical system (MEMS) motion sensor information processing algorithms designed on a gesture interaction system which integrates multiple low-cost MEMS motion sensors with ZigBee wireless technology to support embodied communication while acting together with machines. Sensor signal processing systems mainly solve noise removal, signal smoothing, gravity influence separation, coordinate system conversion, and position information retrieval. The attitude information which is an important movement parameter and required by position estimation is calculated with a quaternion-based extended Kalman filter (EKF). The effectiveness of the movement information retrieval of this gesture interface is verified by experiments and test analysis, both in static and moving cases. In the end, related applications of the described sensor information processing are discussed.

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This paper presents a new wearable gesture interface which is intuitive, fast, accurate, and convenient with MEMS sensors and ZigBee independent of cameras, sensor bars, and surfaces in a broader interactive range. This kind of spatial interaction tool can help more people to express anything through gesture movement. Current gesture interaction mainly works on recognition, while our product applies novel and systematic calculation and realizes more flexible and accurate gesture interaction.
This paper presents a new wearable gesture interface which is intuitive, fast, accurate, and...
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