Garment suggestion based on comfort extracted from physiological and emotional parameters
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911949487341568 |
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| author | Jung, Hyo Chang Rakib, Mohammad Abu Nasir Foysal, Kamrul H Chong, Jo Woon |
| author_facet | Jung, Hyo Chang Rakib, Mohammad Abu Nasir Foysal, Kamrul H Chong, Jo Woon |
| contents | The purpose of the study was to find the true comfort of the wearer by conceptualizing, formulating, and proving the relation between physiological and emotional parameters with clothing fit and fabric. A mixed-method research design was used, and the findings showed that physiological indicators such as heart rate are closely linked with user comfort. However, a significant change in emotional response indicated a definite relationship between different fabric and fit types. The research was conducted to discover the relation between true comfort parameters and clothing, which is unique to the field. The findings help us understand how fabric types and clothing fit types can affect physiological and emotional responses, providing the consumer with satisfactory clothing with the suitable properties needed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_07040 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Garment suggestion based on comfort extracted from physiological and emotional parameters Jung, Hyo Chang Rakib, Mohammad Abu Nasir Foysal, Kamrul H Chong, Jo Woon Signal Processing Human-Computer Interaction The purpose of the study was to find the true comfort of the wearer by conceptualizing, formulating, and proving the relation between physiological and emotional parameters with clothing fit and fabric. A mixed-method research design was used, and the findings showed that physiological indicators such as heart rate are closely linked with user comfort. However, a significant change in emotional response indicated a definite relationship between different fabric and fit types. The research was conducted to discover the relation between true comfort parameters and clothing, which is unique to the field. The findings help us understand how fabric types and clothing fit types can affect physiological and emotional responses, providing the consumer with satisfactory clothing with the suitable properties needed. |
| title | Garment suggestion based on comfort extracted from physiological and emotional parameters |
| topic | Signal Processing Human-Computer Interaction |
| url | https://arxiv.org/abs/2407.07040 |