Machine-learning-based Prediction of the Three-dimensional (3D) Position Coordinates of 3D Proximity Sensing Frames

Author:

Kashiwao Tomoaki1ORCID,Hiro Masayuki1,Hayashi Keita1,Deguchi Mikio2

Affiliation:

1. Graduate School of Science and Engineering, Kindai University

2. National Institute of Technology, Niihama College

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Automotive Engineering

Reference15 articles.

1. (1) Y. Takeoka, T. Miyaki, and J. Rekimoto: “Ztouch: An Infrastructure for 3D gesture interaction in the proximity of tabletop surfaces”, ACM International Conference on Interactive Table tops and Surfaces 2010, pp. 91-94, Saarbrücken, Germany (2010)

2. (2) T. Y. Lin, P. C. P. Chao, W.-D. Chen, and C.-H. Tsai: “A Novel 3D Optical Proximity Sensor Panel and its Readout Circuit”, IEEE SENSORS 2010, pp. 108-113, (2010)

3. (3) M. L. Goc, S. Taylor, S. Izadi, and C. Keskin: “A Lowcost Transparent Electric Field Sensor for 3D Interaction on Mobile Devices”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2014, pp. 3167-3170, Toronto, Ontario, Canada (2014)

4. (4) M. Deguchi, T. Kashiwao, M. Hiro, and K. Hayashi: “3D Proximity Sensing Frame for Non-Contact Operation Panel”, Proceedings of IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization 2022, SS4-1, pp. 252-256, Saitama Univ., Saitama, Japan (2022)

5. (5) M. Deguchi: “A simple method for detecting very small changes in capacitance or inductance”, Microelectronics Journal, Vol. 101, 104802 (2020)

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