Investigation of Food Characteristics Modulating Spoon Motions in Skilled Spoon Users: Proposal of a Control Target for the Active Self-feeding Spoon

Author:

Yasuda Toshitaka1,Fukiwake Midori1,Shimokasa Kenji2,Mine Yasuhiro3

Affiliation:

1. Department of Electronic Engineering, Tokyo National College of Technology

2. Course of System Engineering, Division of Industrial Technology, Tsukuba University of Technology

3. Department of Human Environment Design, Faculty of Human Life Design, Toyo University

Publisher

Japanese Society for Medical and Biological Engineering

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology

Reference19 articles.

1. 1. Helen CR, Anna LP, Marinos E, Alan AJ, Cyrus C, Avan AS, Sian MR: Southampton Mealtime Assistance Study: design and methods. BMC Geriatr. 13(5), 2013.

2. 2. McColl D, Nejat G. Meal time with socially assistive robot and older at a long-term care facility. J of Human-Robot Interaction. 2(1), pp. 152–171, 2013.

3. 3. My spoon, SECOM. <https://www.secom.co.jp/english/myspoon/> [accessed on June 26, 2017].

4. 4. Mealtime Partner Dining System, MEALTIME PARTNERS, <http://www.mealtimepartners.com/> [accessed on June 26, 2017].

5. 5. Choosing eating and drinking equipment. <http://www.assistireland.ie/eng/Information/Information_Sheets/> [accessed on Jun 26, 2017].

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1. Analysis of head motions during food intake in Japanese adults using a new motion capture system;Archives of Oral Biology;2024-04

2. Arm-A-Dine;Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play;2018-10-23

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