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    政大機構典藏 > 理學院 > 資訊科學系 > 學位論文 >  Item 140.119/99805
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/99805

    Title: 用於動作引導之穿戴式回饋系統
    An Exploratory Study of Motion Guidance System with a Haptic Gauntlet
    Authors: 陳星佐
    Chen, Hsing Tso
    Contributors: 余能豪
    Yu, Nen Hao
    Chen, Hsing Tso
    Keywords: 力回饋
    force feedback
    wearable device
    motion guidance
    force imitation
    Date: 2016
    Issue Date: 2016-08-09 11:24:40 (UTC+8)
    Abstract: 網路科技的進步逐漸改變運動學習型態,影音媒體自學已漸漸取代傳統開班授課的學習模式,成為新一代的運動學習潮流。然而,在使用影音教材自主學習時,學習者很難觀察到影片中動作的細微變化,且缺乏觸覺上的指引以協助動作調整,其可能造成學習者的學習體驗不佳且成效不彰。此外,持續做錯誤的姿勢還可能導致永久性運動傷害。對此,本研究擬實作一套穿戴式回饋裝置,期望能幫助運動學習者在觀看影音教學自學時,同時可獲得觸覺回饋的引導,幫助學習者做姿勢的調整。
    Owing to the advances in technology, the way of people to learn exercise has been changing gradually. Learning by the multimedia resources, therefore, has become a new trend of exercise learning which substituted the videos for the traditional coach lessons. However, when people watch the videos to learn the motion, it’s not only difficult to observe the subtle change, but also lacks of the haptic feedback for motion adjustment. Thus, the learning efficiency and experience may be affected. Besides, keeping in the wrong posture could also lead to the permanent sport injury. According to the reasons mentioned above, we present a motion guidance gauntlet which could provide people who is doing exercise with the force feedback to guide their movement to the correct position.
    The system has primarily been through three times design, modification and user studies. At first, we conduct a pilot study to find out the position where is the most sensitive to the pressure on the forearm. Then, we take the feeling of being pushed as the concept of feedback design and modify the construction of the device continuously until users could clearly receive the force feeling and judge the direction where device guide to.
    16 participants are recruited for two stages of evaluation. The experiments are executed when participants are in the status of exercising. The scenario between these two stages are different. Participants test without learning process at the first stage of evaluation. At the second stage of evaluation, participants have training process before the test start. According to the result, the accuracy is 82.15% at the first stage of evaluation. While adding the learning process, the accuracy has improved to 99.07% at the second stage of evaluation. Moreover, we also analyze user feedback to find the potential problem and discuss the corresponding solution.
    Reference: [1] 教育部體育署運動城市調查。http://www.edu.tw/News_Content.aspx?n=9E7AC85F1954DDA8&s=3B4EE2120F75FF93
    [2] Portillo-Rodriguez,O., Sandoval-Gonzalez,O.O., Ruffaldi,E., Leonardi,R., Avizzano,C.A., Bergamasco,M. Real-Time Gesture Recognition, Evaluation and Feed-Forward Correction of a Multimodal Tai-Chi Platform. Proceedings of the 3rd international workshop on Haptic and Audio Interaction Design, HAID '08(2008), 30-39.
    [3] Spelmezan,D., Jacobs,M., Hilgers,A., Borchers,J. Tactile motion instructions for physical activities. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '09(2009), 2243-2252.
    [4] Kuniyasu,Y., Fukushima,S., Furukawa,M., Kajimoto,H. Weight illusion by tangential deformation of forearm skin. Proceedings of the 2nd Augmented Human International Conference, AH’11(2011), 1-2.
    [5] Kuniyasu,Y., Sato,M., Fukushima,S., Kajimoto,H. Transmission of forearm motion by tangential deformation of the skin. Proceedings of the 3rd Augmented Human International Conference, AH’12(2012), 1-4.
    [6] Nakamura,T., Nishimura,N., Sato,M., Kajimoto,H. Development of a wrist-twisting haptic display using the hanger reflex. Proceedings of the 11th Conference on Advances in Computer Entertainment Technology, ACE '14(2014), 3-7.
    [7] Tsetserukou,D., Sato,K., Tachi,S. ExoInterfaces: novel exoskeleton haptic interfaces fot virtual reality, augmented sport and rehabilitation. Proceedings of the 1st Augmented Human International Conference, AH '10(2010), 1-6.
    [8] Chen,C.C., Chen,Y.Y., Chung,Y.J., Yu,N.H. Motion Guidance Sleeve: Guiding the Forearm Rotation through External Artificial Muscles. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI '16(2016), 3272-3276.
    [9] TowerPro MG995R Servo. http://www.servodatabase.com/servo/towerpro/mg995r
    [10] LightBlue Bean. Retrieved June 10 2016, from: https://www.adafruit.com/product/2732
    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102753033
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

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