Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction

Shanhai Jin, Shijie Guo, Kazunobu Hashimoto, Motoji Yamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Metabolic cost during walking is positively associated with exercise intensity. As a walking assistive device, one of the major goals should be the maximization of wearers' metabolic benefits. Toward this goal, this paper experimentally evaluates the influence of maximum assistive force (MAF) of an authors' soft robotic suit, which has been developed to assist hip flexion for energy-efficient walking of elderly persons in daily activities, on metabolic cost reduction. Experiment results show that, for a 79-years-old healthy male subject, the metabolic cost reduction rate of the soft robotic suit was not linearly correlated with the value of MAF in the condition of the robotic suit worn and powered on (PON) compared with that of worn but powered off (POFF). Instead, it is interestingly observed that the metabolic cost was significantly reduced by an average of -12 % in the PON condition with MAF that the subject felt most comfortable with (24.5 N), while the reduction rates were -0.8 % and -3.1 % in the PON condition with MAFs that the subject felt weak (15.7 N) and strong (29.4 N), respectively, showing no significant differences between the two conditions. The findings of this study are beneficial for the future development of soft robotic suits that assist hip flexion of elderly persons.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages146-150
Number of pages5
ISBN (Electronic)9781538631355
DOIs
Publication statusPublished - Jan 29 2018
Event8th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Ningbo, China
Duration: Nov 19 2017Nov 21 2017

Publication series

Name2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings
Volume2018-January

Other

Other8th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017
CountryChina
CityNingbo
Period11/19/1711/21/17

Fingerprint

Cost reduction
Robotics
Costs
Person
Energy Efficient
Exercise
Linearly
Influence
Evaluate
Experiment
Experiments

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Aerospace Engineering
  • Mechanical Engineering
  • Control and Optimization

Cite this

Jin, S., Guo, S., Hashimoto, K., & Yamamoto, M. (2018). Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction. In 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings (pp. 146-150). (2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIS.2017.8274764

Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction. / Jin, Shanhai; Guo, Shijie; Hashimoto, Kazunobu; Yamamoto, Motoji.

2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 146-150 (2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jin, S, Guo, S, Hashimoto, K & Yamamoto, M 2018, Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction. in 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings. 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 146-150, 8th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017, Ningbo, China, 11/19/17. https://doi.org/10.1109/ICCIS.2017.8274764
Jin S, Guo S, Hashimoto K, Yamamoto M. Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction. In 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 146-150. (2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings). https://doi.org/10.1109/ICCIS.2017.8274764
Jin, Shanhai ; Guo, Shijie ; Hashimoto, Kazunobu ; Yamamoto, Motoji. / Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction. 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 146-150 (2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings).
@inproceedings{5c258043e5bb449ca1c456dc84adb49d,
title = "Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction",
abstract = "Metabolic cost during walking is positively associated with exercise intensity. As a walking assistive device, one of the major goals should be the maximization of wearers' metabolic benefits. Toward this goal, this paper experimentally evaluates the influence of maximum assistive force (MAF) of an authors' soft robotic suit, which has been developed to assist hip flexion for energy-efficient walking of elderly persons in daily activities, on metabolic cost reduction. Experiment results show that, for a 79-years-old healthy male subject, the metabolic cost reduction rate of the soft robotic suit was not linearly correlated with the value of MAF in the condition of the robotic suit worn and powered on (PON) compared with that of worn but powered off (POFF). Instead, it is interestingly observed that the metabolic cost was significantly reduced by an average of -12 {\%} in the PON condition with MAF that the subject felt most comfortable with (24.5 N), while the reduction rates were -0.8 {\%} and -3.1 {\%} in the PON condition with MAFs that the subject felt weak (15.7 N) and strong (29.4 N), respectively, showing no significant differences between the two conditions. The findings of this study are beneficial for the future development of soft robotic suits that assist hip flexion of elderly persons.",
author = "Shanhai Jin and Shijie Guo and Kazunobu Hashimoto and Motoji Yamamoto",
year = "2018",
month = "1",
day = "29",
doi = "10.1109/ICCIS.2017.8274764",
language = "English",
series = "2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--150",
booktitle = "2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings",
address = "United States",

}

TY - GEN

T1 - Influence of maximum assistive force of a soft wearable robotic suit on metabolic cost reduction

AU - Jin, Shanhai

AU - Guo, Shijie

AU - Hashimoto, Kazunobu

AU - Yamamoto, Motoji

PY - 2018/1/29

Y1 - 2018/1/29

N2 - Metabolic cost during walking is positively associated with exercise intensity. As a walking assistive device, one of the major goals should be the maximization of wearers' metabolic benefits. Toward this goal, this paper experimentally evaluates the influence of maximum assistive force (MAF) of an authors' soft robotic suit, which has been developed to assist hip flexion for energy-efficient walking of elderly persons in daily activities, on metabolic cost reduction. Experiment results show that, for a 79-years-old healthy male subject, the metabolic cost reduction rate of the soft robotic suit was not linearly correlated with the value of MAF in the condition of the robotic suit worn and powered on (PON) compared with that of worn but powered off (POFF). Instead, it is interestingly observed that the metabolic cost was significantly reduced by an average of -12 % in the PON condition with MAF that the subject felt most comfortable with (24.5 N), while the reduction rates were -0.8 % and -3.1 % in the PON condition with MAFs that the subject felt weak (15.7 N) and strong (29.4 N), respectively, showing no significant differences between the two conditions. The findings of this study are beneficial for the future development of soft robotic suits that assist hip flexion of elderly persons.

AB - Metabolic cost during walking is positively associated with exercise intensity. As a walking assistive device, one of the major goals should be the maximization of wearers' metabolic benefits. Toward this goal, this paper experimentally evaluates the influence of maximum assistive force (MAF) of an authors' soft robotic suit, which has been developed to assist hip flexion for energy-efficient walking of elderly persons in daily activities, on metabolic cost reduction. Experiment results show that, for a 79-years-old healthy male subject, the metabolic cost reduction rate of the soft robotic suit was not linearly correlated with the value of MAF in the condition of the robotic suit worn and powered on (PON) compared with that of worn but powered off (POFF). Instead, it is interestingly observed that the metabolic cost was significantly reduced by an average of -12 % in the PON condition with MAF that the subject felt most comfortable with (24.5 N), while the reduction rates were -0.8 % and -3.1 % in the PON condition with MAFs that the subject felt weak (15.7 N) and strong (29.4 N), respectively, showing no significant differences between the two conditions. The findings of this study are beneficial for the future development of soft robotic suits that assist hip flexion of elderly persons.

UR - http://www.scopus.com/inward/record.url?scp=85049090206&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049090206&partnerID=8YFLogxK

U2 - 10.1109/ICCIS.2017.8274764

DO - 10.1109/ICCIS.2017.8274764

M3 - Conference contribution

T3 - 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings

SP - 146

EP - 150

BT - 2017 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2017 and IEEE Conference on Robotics, Automation and Mechatronics, RAM 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -