A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot
In order to avoid being bedridden, a preemptive walking rehabilitation is essential for people who lose their walking ability because of illness or accidents. In a previous study, we developed an omnidirectional walking training robot (WTR), the effectiveness of which in rehabilitation was validated...
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| Veröffentlicht in: | Journal of intelligent & robotic systems 2017-08, Vol.87 (2), p.231-246 |
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| container_title | Journal of intelligent & robotic systems |
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| creator | Wang, Yina Wang, Shuoyu |
| description | In order to avoid being bedridden, a preemptive walking rehabilitation is essential for people who lose their walking ability because of illness or accidents. In a previous study, we developed an omnidirectional walking training robot (WTR), the effectiveness of which in rehabilitation was validated by clinical testing. In the primary stage of the walking training, the WTR guides the user to follow the predesigned therapy program to conduct the walking training. This study focuses on the later stages of training in which the user plays an active role of determining the training by himself/herself, and the WTR must follow the user’s intent. However, identifying a user’s intent is challenging. In the present study, we address this problem by introducing a directional-intent identification method based on a distance-type fuzzy reasoning algorithm. The effectiveness of the directional identification method is experimentally confirmed. |
| doi_str_mv | 10.1007/s10846-017-0503-z |
| format | Article |
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The effectiveness of the directional identification method is experimentally confirmed.</description><subject>Accidents</subject><subject>Artificial Intelligence</subject><subject>Control</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Fuzzy logic</subject><subject>Mechanical Engineering</subject><subject>Mechatronics</subject><subject>Preempting</subject><subject>Reasoning</subject><subject>Rehabilitation</subject><subject>Robotics</subject><subject>Therapy</subject><subject>Training</subject><issn>0921-0296</issn><issn>1573-0409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kE9LAzEQxYMoWKsfwFvAc3SSTbLZY6n_CtVCafEYsmm2bm0TTbaI_fTusoJevMwMw3uPmR9ClxSuKUB-kygoLgnQnICAjByO0ICKPCPAoThGAygYJcAKeYrOUtoAQKFEMUB6hJ_dJ76to7NNHbzZkolvnG_w3Nmw9nW3xE-ueQ0rXIWIX8z2rfZrvIim9t2wTF01Hs92vl795uB5KENzjk4qs03u4qcP0fL-bjF-JNPZw2Q8mhLLmWiIo7aUgpWMMqdyS22hTLUCLjjlpVKsBKMcq8AIYahsxczlKymtEjl3eZVlQ3TV577H8LF3qdGbsI_tGUnTgvJCyvb5VkV7lY0hpegq_R7rnYlfmoLuOOqeo2456o6jPrQe1ntSq_VrF_8k_2v6BrshdjE</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Wang, Yina</creator><creator>Wang, Shuoyu</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20170801</creationdate><title>A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot</title><author>Wang, Yina ; 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| ispartof | Journal of intelligent & robotic systems, 2017-08, Vol.87 (2), p.231-246 |
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| subjects | Accidents Artificial Intelligence Control Electrical Engineering Engineering Fuzzy logic Mechanical Engineering Mechatronics Preempting Reasoning Rehabilitation Robotics Therapy Training |
| title | A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot |
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