Page - 151 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

In the previous study, Local stability of the spine and hip was affected by fatigue during repetitive lifting. Progressive fatigue could increase the risk of injury to the spine and hip. [9] There are many kinds of research to evaluate human fatigue by measuring vital information, but research such as measuring fatigue from behavior algorithm of workers who work repetitively like handling heavy goods has not been done. The motion analysis suggests the relationship between gradual accumulation of fatigue and an increase of duration during the lifting test. In the latter half of the test, it was confirmed that there were three or more occurrences of values exceeding the average so far and that the values included one or more occurrences of 1.23 or more. This result suggests that IoH/ IoT sensor could detect the algorithm in the duration between the motion of joint flexion and extension and alert their manager or worker them self when the worker is about to reach their limit of fatigue. The validity of this trend shall be examined with more subject and algorithm should be considered. A new generation of Assist Suit could be installed with the functions to prevents accidents due to fatigue in advance. The result of the comparison test of the strength of coil springs suggests that the strength of the coil spring effects reduction of workload. However, the difference of subject weight may have significance on the evaluation of the assistance felt, so it must be verified with more subject. In this test, as the workload got higher, higher spring strength enabled better reduction of workload. References [1] Gyoumujyou Shippei Hassei Jyoukyoutou Chousa 2016, Ministry of Health, Labor and Welfare, Table 1 Gyoushubetu, Shippeibetsu (in japanese). [2] Yasuhisa HASEGAWA, Masataka MURAMATSU, Wearable Lower-Limb Assistive System for Physical Load Reduction of Caregivers during Transferring Assistance, University of Tsukuba, (in japanese). [3] Yasuhiro MITANI, Masashi HASHIMOTO, Tomoki KITAGAWA, Akiyoshi MATSUGI, Biomechanical Analysis of Lower Limb and Trunk Movements when Lifting Loads, Investigation into Differences in Load Weight, Journal of Physical Therapy Science 2013, Page 619-622 (in japanese). [4] Donald.A.Neumann, Kinesiology of the Musculoskeletal System, Page 368, 369 (in japanese). [5] Bettenn Shokuba niokeru Yotsuu Yobou Taisaku Shishin 2013, Ministry of Health, Labor and Welfare, Page 18 (in japanese). [6] Koichi TASAKA, Sho TANAKA, Saburo TSURUTA, Hisayuki KUROKAWA, Evaluation of EMG and Pressure on Back in Case Picking Work, Journal of Japan Logistics Society Vol. 2007, Page 97-104 (in japanese). [7] Hiroki TOMIYAMA, Noriyasu HIROKAWA, Ichiro KITAYAMA, Mitsushi OHMASA, Yuki NAKAHARA, Shou FUKAMAKI, Analysis and Evaluation of Line Active Mass and the Torque of the Rising Movement with STARTING ASSISTING CHAIR, Kinki University, School of Biology-Oriented Science and Technology, The Japanese Journal of Ergonomics, Vol54 Page.1,2018 (in japanese). [8] Zhe CAO, Gines HIDALGO, Tamas SIMON, Shih-En WEI, Yaser SHEIKH, OpenPose: Realtime Multi- Person 2D Pose Estimation using Part Affinity Fields, 2018. [9] Naser ASGARIA, Mohammad Ali SANHARIB, Ali ESTEKI, Local dynamic stability of the spine and its coordinated lower joints during repetitive Lifting: Effects of fatigue and chronic low back pain, Human Movement Science 54, P339–346,2017. T.Nakazawaetal. /Advancementof IoH/IoT“Assist Suits” toSupportWorkplaces 151