HUMAN-MACHINE TEAMING: A MOVEMENT-FOCUSED APPROACH

被引:0
作者
Fukuda, Shuichi [1 ]
机构
[1] Keio Univ, Yokohama, Kanagawa, Japan
来源
PROCEEDINGS OF THE ASME 2020 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2020, VOL 6 | 2020年
关键词
Human-Machine Teaming; Movement; Communication; Mind-Body-Brain; Direct Interaction with the Outside World; Wearable Robots; Reservoir Computing; Interactive Holistic Perception; Rehabilitation; Healthcare; Challenge; Psychological; Satisfaction; Process Value; Performance; Indicator; Non-Euclidean Space; Mahalanobis; Distance; Pattern; Mahalanobis DistancePattern; Approach;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To cope with today's frequent, extensive and unpredictable changes, humans and machines need to work together on the same team. Team organization and management called for now is to develop a truly adaptable network without any constraints. Movement works as a communication tool for the humanmachine team, and in addition, movement will bring emotional harmonization between humans and machines and psychological satisfaction and happiness to humans. Although instinct has been neglected in traditional engineering, it plays an important role to coordinate many body parts and balance our bodies, and for interactive holistic perception and for making better decisions. Emerging reservoir computing will produce extremely small devices so they will work together on us and enable us to interact directly with the outside world through our bodies. And such human-machine team will motivate us to challenge rehabilitation and healthcare, which, therefore, will become a kind of a game, But to achieve this goal, a holistic and quantitative performance indicator is necessary. Euclidean Space approach requires orthonormality and units. But to manage movements, we must be free from these constraints. Therefore, Mahalanobis Distance-Pattern Approach, which is non-Euclidean, is proposed.
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页数:9
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