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http://dx.doi.org/10.7746/jkros.2020.15.3.269

A Study on Design of Posture Transition Filter for 3D Human Posture Estimation and Refinement on Robotic Bed  

Lee, Jong-il (KIRO)
Han, Jong-Boo (KRISO)
Koo, Jae Wan (KIRO)
Choi, Jae-Won (KIRO)
Hahm, Jehun (KIRO)
Yang, Kyon-Mo (KIRO)
Sohn, Dong-Seop (KIRO)
Seo, Kap-Ho (KIRO)
Publication Information
The Journal of Korea Robotics Society / v.15, no.3, 2020 , pp. 269-276 More about this Journal
Abstract
As we become an aging society, the number of elderly patients continues to increase. Pressure sores that can easily occur in patients with trauma cause serious socio-economic problems. In general, prevention of bedsores through predicting the patient's posture is being developed. Developed method usually use artificial intelligence techniques to estimate the patient's posture by measured pressure images in the mattress. In this method, it has a problem the reduction of estimation accuracy when posture of patient is changed. Therefore, it is necessary to use the filter of pressure images in the position transition of patient. In this paper, we propose an algorithm to predict the patient's posture, and an algorithm to reduce the ambiguity that can occur in the patient's posture transition section. By obtaining stable data through this algorithm, learning/prediction stability of the neural network can be expected, and prediction performance is improved accordingly. Through experiments, the effectiveness of the algorithm was verified.
Keywords
Human Posture Estimation; Motion Filter Design; Robotic Bed;
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