Gesture recognition based on flexible solar cells and ultrathin hydrogel film
Daily life involves various gestures, and combining these with smart wearable devices is crucial for improving quality of life.One effective solution to the challenges of gesture recognition and device energy consumption isutilizing the photoelectric conversion characteristics of solar energy-relate...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2023-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023143/ |
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| _version_ | 1841530804597948416 |
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| author | Rucheng WU Wenbo DING Xiaomin XU Linqi SONG Weitao XU |
| author_facet | Rucheng WU Wenbo DING Xiaomin XU Linqi SONG Weitao XU |
| author_sort | Rucheng WU |
| collection | DOAJ |
| description | Daily life involves various gestures, and combining these with smart wearable devices is crucial for improving quality of life.One effective solution to the challenges of gesture recognition and device energy consumption isutilizing the photoelectric conversion characteristics of solar energy-related devices.The data of five commonly used gestures were collected in the research of the combination of flexible solar cells and gesture recognition.Z-Score, low-pass filter, sliding window techniques for signal processing were applied, and successfully achieved 100% predicted accuracy using random forest, support vector machine and neural network algorithms even with small samples which showed that this method had significant advantages in the application of gesture recognition. |
| format | Article |
| id | doaj-art-0e9099ab119f4af1a52be8ba5f13b57c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-0e9099ab119f4af1a52be8ba5f13b57c2025-01-15T02:58:27ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-07-013910911559564039Gesture recognition based on flexible solar cells and ultrathin hydrogel filmRucheng WUWenbo DINGXiaomin XULinqi SONGWeitao XUDaily life involves various gestures, and combining these with smart wearable devices is crucial for improving quality of life.One effective solution to the challenges of gesture recognition and device energy consumption isutilizing the photoelectric conversion characteristics of solar energy-related devices.The data of five commonly used gestures were collected in the research of the combination of flexible solar cells and gesture recognition.Z-Score, low-pass filter, sliding window techniques for signal processing were applied, and successfully achieved 100% predicted accuracy using random forest, support vector machine and neural network algorithms even with small samples which showed that this method had significant advantages in the application of gesture recognition.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023143/flexible solar cellsultrathin hydrogel filmgesture recognitionmachine learningsmart wearable device |
| spellingShingle | Rucheng WU Wenbo DING Xiaomin XU Linqi SONG Weitao XU Gesture recognition based on flexible solar cells and ultrathin hydrogel film Dianxin kexue flexible solar cells ultrathin hydrogel film gesture recognition machine learning smart wearable device |
| title | Gesture recognition based on flexible solar cells and ultrathin hydrogel film |
| title_full | Gesture recognition based on flexible solar cells and ultrathin hydrogel film |
| title_fullStr | Gesture recognition based on flexible solar cells and ultrathin hydrogel film |
| title_full_unstemmed | Gesture recognition based on flexible solar cells and ultrathin hydrogel film |
| title_short | Gesture recognition based on flexible solar cells and ultrathin hydrogel film |
| title_sort | gesture recognition based on flexible solar cells and ultrathin hydrogel film |
| topic | flexible solar cells ultrathin hydrogel film gesture recognition machine learning smart wearable device |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023143/ |
| work_keys_str_mv | AT ruchengwu gesturerecognitionbasedonflexiblesolarcellsandultrathinhydrogelfilm AT wenboding gesturerecognitionbasedonflexiblesolarcellsandultrathinhydrogelfilm AT xiaominxu gesturerecognitionbasedonflexiblesolarcellsandultrathinhydrogelfilm AT linqisong gesturerecognitionbasedonflexiblesolarcellsandultrathinhydrogelfilm AT weitaoxu gesturerecognitionbasedonflexiblesolarcellsandultrathinhydrogelfilm |