ABSTRACT
Along with the spread of smart phones and wearable devices, systems that recognizes gestures such as punch and chop using an accelerometer have recently been attracting a great deal of attention. However, these systems do not consider the situation that gestures are performed continuously from/to other gestures or untrained movements and can not recognize such gestures accurately. This paper proposes a method that recognizes gestures performed continuously without explicit intervals. The proposed method detects segments similar to template data of target gestures and chooses the most likely segment. In order to evaluate the effectiveness of the proposed method, an experiment is conducted with five subjects. The subjects conducted three types of gestures drawing a graphic symbol in the air; circle, triangle, and cross in five kinds of situations, and ten types of gestures drawing a numeric character in the air; zero to nine. The average F-measure of graphic symbol achieved 0.78 and the average F-measure of numerical character achieved 0.79.
- R. Izuta, K. Murao, T. Terada, M, Tsukamoto. Early Gesture Recognition Method with an accelerometer. International Journal of Pervasive Computing and Communications, Vol. 11, No, 6, pp 270--287 (Apr. 2015).Google ScholarCross Ref
- J. Liu, L. Zhong, J. Wickramasuriya, V. Vasudevan. uWave: Accelerometer-based personalized gesture recognition and its applications. In proc. of International Conference on Pervasive and Mobile Computing (PerCom 2009), Vol. 5, No. 6, pp. 657--675 (Mar. 2009). Google ScholarDigital Library
- C.S. Myers, L.R. Rabiner. A comparative study of several dynamic time-warping algorithms for connected-word recognition. The Bell System Technical Journal, Vol. 60, No. 7, pp. 1389--1409 (Sep. 1981).Google ScholarCross Ref
- L.R. Rabiner, B.H. Juang, A tutorial on hidden markov models and selected applications in speech recognition, IEEE, pp 257--286 (1989).Google Scholar
- K. Murao and T. Terada. A Motion Recognition Method by Constancy-Decision, in Proc. of IEEE International Symposium on Wearable Computers (ISWC 2010), pp. 69--72, Seoul, Korea (Oct. 2010).Google ScholarCross Ref
- K. Murao, T. Terada. A Combined-Activity Recognition Method with Accelerometers, Journal of Information Processing Society of Japan, Vol. 24, No. 3, pp. 512--521 (May 2016).Google ScholarCross Ref
- J. Korpela, K. Takase, T. Hirashima, T. Maekawa, J. Eberle, D. Chakraborty, K. Aberer. An energy-aware method for the joint recognition of activities and gestures using wearable sensors. In proc. of the 2015 ACM International Symposium on Wearable Computers (ISWC 2015), pp. 101--108 (Sep. 2015). Google ScholarDigital Library
- T. Park, J. Lee, I. Hwang, C. Yoo, L. Nachman, J. Song. E-Gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices. In proc. of the 9th ACM Conference on Embedded Networked Sensor Systems (SenSys 2011), pp. 260--273 (Nov. 2011). Google ScholarDigital Library
- Y. Sakurai. C, Faloutsos, M. Yamamuro. Stream Monitoring under the Time Warping Distance. In proc. of the IEEE 23rd International Conference on Data Engineering (ICDE 2007), pp. 1046--1055 (Apr. 2007).Google ScholarCross Ref
Index Terms
- A recognition method for continuous gestures with an accelerometer
Recommendations
Evaluating the placement of arm-worn devices for recognizing variations of dynamic hand gestures
Dynamic hand gestures have become increasingly popular as touch-free input modality for interactive systems. There exists a variety of arm-worn devices for the recognition of hand gestures, which differ not only in their capabilities, but also in their ...
Comparing the Placement of Two Arm-Worn Devices for Recognizing Dynamic Hand Gestures
MoMM '16: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi MediaDynamic hand gestures have become increasingly popular as an input modality for interactive systems. There exists a variety of arm-worn devices for the recognition of hand gestures, which differ not only in their capabilities, but also in the arm ...
Continuous recognition of one-handed and two-handed gestures using 3D full-body motion tracking sensors
IUI '12: Proceedings of the 2012 ACM international conference on Intelligent User InterfacesIn this paper we present a new bimanual markerless gesture interface for 3D full-body motion tracking sensors, such as the Kinect. Our interface uses a probabilistic algorithm to incrementally predict users' intended one-handed and twohanded gestures ...
Comments