Presentation 2019-02-23
Attempt to distinguish pattern of motion on bed in nursing care situation by machine learning
Yohei Kayano,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Keyword: Nursing, physical restraint, Machine learning, activity recognition, wearable sensor There are remaining problems of physical restraints to prevent unplanned extubastion, unplanned removal of intravenous drip and falling from the bed in nursing care situation. Human activity recognition by Machine learning and Deep Learning can be effective technology to solve the issue of physical restraints and to prevent complications in medical treatments. This research is attempt to distinguish pattern of motion on bed in nursing care situation by using wearable sensor data and machine learning.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) nursing / physical restraint / machine learning / activity recognition / wearable sensor
Paper # AI2018-49
Date of Issue 2019-02-15 (AI)

Conference Information
Committee AI
Conference Date 2019/2/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tsunenori Mine(Kyushu Univ.)
Vice Chair Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.)
Secretary Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.)
Assistant Yuko Sakurai(AIST)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Attempt to distinguish pattern of motion on bed in nursing care situation by machine learning
Sub Title (in English)
Keyword(1) nursing
Keyword(2) physical restraint
Keyword(3) machine learning
Keyword(4) activity recognition
Keyword(5) wearable sensor
1st Author's Name Yohei Kayano
1st Author's Affiliation Nagoya City University(Nagoya City Univ.)
Date 2019-02-23
Paper # AI2018-49
Volume (vol) vol.118
Number (no) AI-453
Page pp.pp.67-70(AI),
#Pages 4
Date of Issue 2019-02-15 (AI)