Wrist Information Detection Sensor Based on Pinhole Imaging
For the purpose of meeting the requirements of wrist-worn wearable devices for human-computer interaction and for measuring human physiological parameters, especially dynamic physiological parameters, the collaborative work of various sensors is essential to provide sufficient perceptual information...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/10614802/ |
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| author | Hongmin Qi Jun Xiong Meichen Cao Weien Lai Yaohui Hu |
| author_facet | Hongmin Qi Jun Xiong Meichen Cao Weien Lai Yaohui Hu |
| author_sort | Hongmin Qi |
| collection | DOAJ |
| description | For the purpose of meeting the requirements of wrist-worn wearable devices for human-computer interaction and for measuring human physiological parameters, especially dynamic physiological parameters, the collaborative work of various sensors is essential to provide sufficient perceptual information. This study introduces a Wrist Information Detection Sensor Based on Pinhole Imaging (WIDSP). This sensor utilizes the principle of pinhole imaging, employing an image sensor to capture motion and physiological signals at the wrist. Through the processing and analysis of image data, it can achieve the recognition of hand movements and the measurement of human physiological parameters. In the evaluation experiments, the displacement compensation function of WIDSP enhanced the recognition rate of mouse-like movements from 94.67% to 97.33%. Additionally, this sensor achieved a heart rate measurement with less than 2% error, demonstrating WIDSP's broad prospects in wrist information perception applications. |
| format | Article |
| id | doaj-art-d47240c057404a55b87f8bf684eeef2e |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-d47240c057404a55b87f8bf684eeef2e2025-08-20T03:32:57ZengIEEEIEEE Photonics Journal1943-06552024-01-011661610.1109/JPHOT.2024.343583210614802Wrist Information Detection Sensor Based on Pinhole ImagingHongmin Qi0Jun Xiong1Meichen Cao2https://orcid.org/0009-0001-6163-2541Weien Lai3Yaohui Hu4https://orcid.org/0000-0002-7088-0379School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, ChinaAcademy of Opto-Electronics Technology, Hefei University of Technology, Hefei, ChinaFor the purpose of meeting the requirements of wrist-worn wearable devices for human-computer interaction and for measuring human physiological parameters, especially dynamic physiological parameters, the collaborative work of various sensors is essential to provide sufficient perceptual information. This study introduces a Wrist Information Detection Sensor Based on Pinhole Imaging (WIDSP). This sensor utilizes the principle of pinhole imaging, employing an image sensor to capture motion and physiological signals at the wrist. Through the processing and analysis of image data, it can achieve the recognition of hand movements and the measurement of human physiological parameters. In the evaluation experiments, the displacement compensation function of WIDSP enhanced the recognition rate of mouse-like movements from 94.67% to 97.33%. Additionally, this sensor achieved a heart rate measurement with less than 2% error, demonstrating WIDSP's broad prospects in wrist information perception applications.https://ieeexplore.ieee.org/document/10614802/Wrist information detectionmeasurement of physiological parametersmultimodalfinger gesture recognitionpinhole imaging |
| spellingShingle | Hongmin Qi Jun Xiong Meichen Cao Weien Lai Yaohui Hu Wrist Information Detection Sensor Based on Pinhole Imaging IEEE Photonics Journal Wrist information detection measurement of physiological parameters multimodal finger gesture recognition pinhole imaging |
| title | Wrist Information Detection Sensor Based on Pinhole Imaging |
| title_full | Wrist Information Detection Sensor Based on Pinhole Imaging |
| title_fullStr | Wrist Information Detection Sensor Based on Pinhole Imaging |
| title_full_unstemmed | Wrist Information Detection Sensor Based on Pinhole Imaging |
| title_short | Wrist Information Detection Sensor Based on Pinhole Imaging |
| title_sort | wrist information detection sensor based on pinhole imaging |
| topic | Wrist information detection measurement of physiological parameters multimodal finger gesture recognition pinhole imaging |
| url | https://ieeexplore.ieee.org/document/10614802/ |
| work_keys_str_mv | AT hongminqi wristinformationdetectionsensorbasedonpinholeimaging AT junxiong wristinformationdetectionsensorbasedonpinholeimaging AT meichencao wristinformationdetectionsensorbasedonpinholeimaging AT weienlai wristinformationdetectionsensorbasedonpinholeimaging AT yaohuihu wristinformationdetectionsensorbasedonpinholeimaging |