A New Method for Haptic Shape Discriminability Detection
Touch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/15/7049 |
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| author | Yulong Liu Jiajia Yang Yinghua Yu Yiyang Yu Wu Wang Huazhi Li Satoshi Takahashi Yoshimichi Ejima Qiong Wu Jinglong Wu |
| author_facet | Yulong Liu Jiajia Yang Yinghua Yu Yiyang Yu Wu Wang Huazhi Li Satoshi Takahashi Yoshimichi Ejima Qiong Wu Jinglong Wu |
| author_sort | Yulong Liu |
| collection | DOAJ |
| description | Touch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here, we propose a new method, the evaluation quantity of which is the angle discrimination threshold. In addition, to make this method easy to use for nonprofessionals, we designed a haptic angle sorting system, including the device and software. To evaluate this method, the angle sorting and two-angle discrimination experiments were compared, and it was found that participants spent significantly less time in the former experiment than in the latter. At the same time, there is a strong correlation between the performance of angle sorting and two-angle discrimination, which shows that the angle threshold obtained by the new method can also be used to evaluate the ability of touch discrimination. Moreover, the angle sorting results of different age groups also further demonstrate the feasibility of the method. The efficiency of this new method and the effectiveness of the system also provide a convenient means for evaluating haptic shape discrimination, which may have potential clinical application value in the early diagnosis of peripheral neuropathy and even in the evaluation of cognitive function. |
| first_indexed | 2024-03-10T09:18:40Z |
| format | Article |
| id | doaj.art-4ab205b972394fdf87504d9566530e0f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:18:40Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4ab205b972394fdf87504d9566530e0f2023-11-22T05:23:37ZengMDPI AGApplied Sciences2076-34172021-07-011115704910.3390/app11157049A New Method for Haptic Shape Discriminability DetectionYulong Liu0Jiajia Yang1Yinghua Yu2Yiyang Yu3Wu Wang4Huazhi Li5Satoshi Takahashi6Yoshimichi Ejima7Qiong Wu8Jinglong Wu9Cognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanCognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanCognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanCognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanThe School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, ChinaCognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanCognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanCognitive Neuroscience Laboratory, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 1 Chome-1-1 Tsushimanaka, Kita Ward, Okayama 700-8530, JapanDepartment of Psychology, Suzhou University of Science and Technology, 99 Xuefu Road, Huqiu District, Suzhou 205009, ChinaResearch Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaTouch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here, we propose a new method, the evaluation quantity of which is the angle discrimination threshold. In addition, to make this method easy to use for nonprofessionals, we designed a haptic angle sorting system, including the device and software. To evaluate this method, the angle sorting and two-angle discrimination experiments were compared, and it was found that participants spent significantly less time in the former experiment than in the latter. At the same time, there is a strong correlation between the performance of angle sorting and two-angle discrimination, which shows that the angle threshold obtained by the new method can also be used to evaluate the ability of touch discrimination. Moreover, the angle sorting results of different age groups also further demonstrate the feasibility of the method. The efficiency of this new method and the effectiveness of the system also provide a convenient means for evaluating haptic shape discrimination, which may have potential clinical application value in the early diagnosis of peripheral neuropathy and even in the evaluation of cognitive function.https://www.mdpi.com/2076-3417/11/15/7049haptic angle discriminationangle sortdiscrimination thresholdhaptic devicehuman haptics |
| spellingShingle | Yulong Liu Jiajia Yang Yinghua Yu Yiyang Yu Wu Wang Huazhi Li Satoshi Takahashi Yoshimichi Ejima Qiong Wu Jinglong Wu A New Method for Haptic Shape Discriminability Detection Applied Sciences haptic angle discrimination angle sort discrimination threshold haptic device human haptics |
| title | A New Method for Haptic Shape Discriminability Detection |
| title_full | A New Method for Haptic Shape Discriminability Detection |
| title_fullStr | A New Method for Haptic Shape Discriminability Detection |
| title_full_unstemmed | A New Method for Haptic Shape Discriminability Detection |
| title_short | A New Method for Haptic Shape Discriminability Detection |
| title_sort | new method for haptic shape discriminability detection |
| topic | haptic angle discrimination angle sort discrimination threshold haptic device human haptics |
| url | https://www.mdpi.com/2076-3417/11/15/7049 |
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