Sitting Posture Detection of Patients Pose Estimation and Bed Detection

Author:

Inoue Madoka1,Taguchi Ryo2,Umezaki Taizo23

Affiliation:

1. Aiphone co., ltd.

2. Nagoya Institute of Technology

3. The University of Tokyo

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Reference16 articles.

1. (2) M. Inoue, R. Taguchi, and T. Umezaki : “Vision-Based Detection of Getting-up Behavior on Intensity Gradient Autocorrelation”, IEEJ Trans. EIS, Vol. 134, No. 2, pp. 242-249 (2014) (in Japanese)

2. (3) M. Inoue, R. Taguchi, K. Hattori, and T. Umezaki : “Vision-Based Detection of Getting-up Behavior on Intensity Gradient Autocorrelation”, IEEJ Trans. EIS, Vol. 136, No. 3, pp. 262-272 (2016) (in Japanese)

3. (4) S. T. O’Keeffe and T. Shaun : “LAVAN, JOHN N. Clinical significance of delirium subtypes in older people. Age and ageing”, Age and ageing, Vol. 28, No. 2, pp. 115-119 (1999)

4. (6) H. Madokoro, N. Shimoi, and K. Sato : “Unrestrained Sensor Systems Using Piezoelectric Elements for Bed-Leaving Prediction.”, JSME Trans., Vol. 79, No800, pp. 1024-1035 (2013) (in Japanese)

5. (7) H. Madokoro, N. Shimoi, and K. Sato : “Prediction of Bed-leaving Behaviors Using Accelerometer-embedded Pillow Based on Machine Learning”, SICE Trans., Vol. 49, No11, pp. 994-1003 (2013) (in Japanese)

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1. Prediction System for Bed-Leaving Based on Center Position of Body Pressure on Bed;2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2024-04-27

2. Automated W-Sitting Posture Detection in Toddlers;Lecture Notes in Networks and Systems;2024

3. Intelligent Running Posture Detection Based on Artificial Intelligence Combined with Sensor;Journal of Sensors;2022-05-23

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