深層学習を用いた午睡中の乳幼児の頭部検出と頭の向き推定

Author:

Hirose Makoto1

Affiliation:

1. Information Technology, National Institute of Technology, Matsue College

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference21 articles.

1. (1) Ministry of Health, Labour and Welfare : Summary of the 2021 Vital Statistics Monthly Report (Summary), Statistic table, No 6 Table, pp. 32-35 (2022)

2. (2) T. Obonai, H. Goshima, K. Endo, E. Hoashi, and H. Nishida : “Review of Infant Deaths in Nursery Schools”, Japan Pediatric Society, Vol. 118, No. 11, pp. 1628-1635 (2014)

3. (3) K. Saitoh, A. Saitoh, A. Inomata, and K. Fujikawa : “State Notification System of an Infant on Android Device”, Internet and Operation Technology Symposium 2014, pp. 35-42 (2014)

4. (4) C. Hayashi, K. Hara, and Y. Enokibori : “Sleeping Posture Classification Using E-Textile Pressure Sensor”, Pattern Recognition and Media Understanding, Vol. 115, No. 414, pp. 41-46 (2016)

5. (5) D. Gazzato, M. Leo, and C. Distante : “An investigation on the feasibility of uncalibrated and unconstrained gaze tacking for human assistive applications by using bead post estimation”, Sensors, Vol. 14, pp. 8363-8379 (2014)

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