Human activity recognition system based on active learning and Wi-Fi sensing
Human activity recognition system based on deep learning and Wi-Fi sensing has gradually become the mainstream research field and has been developed in recent years.However, related systems heavily rely on training with huge labeled samples to reach a high accuracy, which is labor-intensive and unre...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2022.00262 |
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| _version_ | 1850212416064847872 |
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| author | Guangzhi ZHAO Zhipeng ZHOU Wei GONG Shaoqing CHEN Haoquan ZHOU |
| author_facet | Guangzhi ZHAO Zhipeng ZHOU Wei GONG Shaoqing CHEN Haoquan ZHOU |
| author_sort | Guangzhi ZHAO |
| collection | DOAJ |
| description | Human activity recognition system based on deep learning and Wi-Fi sensing has gradually become the mainstream research field and has been developed in recent years.However, related systems heavily rely on training with huge labeled samples to reach a high accuracy, which is labor-intensive and unrealistic for many real-world scenarios.To solve this problem, a system that combines active learning with Wi-Fi based human activity recognition—ALSensing was proposed, which was able to train a well-perform classifier with limited labeled samples.ALSensing was implemented with commercial Wi-Fi devices and evaluated in six real environments.The experimental results show that ALSensing achieves 52.83% recognition accuracy using 3.7% of total training samples, 58.97% recognition accuracy using 15% of total training samples, while the existing full-supervised system reaches 62.19% recognition accuracy.It demonstrates that ALSensing has a similar performance with baseline but requires much less labeled samples. |
| format | Article |
| id | doaj-art-bb46a0a84cfb4ad1a75b87eae9ae20ea |
| institution | OA Journals |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-bb46a0a84cfb4ad1a75b87eae9ae20ea2025-08-20T02:09:21ZzhoChina InfoCom Media Group物联网学报2096-37502022-03-016445259648756Human activity recognition system based on active learning and Wi-Fi sensingGuangzhi ZHAOZhipeng ZHOUWei GONGShaoqing CHENHaoquan ZHOUHuman activity recognition system based on deep learning and Wi-Fi sensing has gradually become the mainstream research field and has been developed in recent years.However, related systems heavily rely on training with huge labeled samples to reach a high accuracy, which is labor-intensive and unrealistic for many real-world scenarios.To solve this problem, a system that combines active learning with Wi-Fi based human activity recognition—ALSensing was proposed, which was able to train a well-perform classifier with limited labeled samples.ALSensing was implemented with commercial Wi-Fi devices and evaluated in six real environments.The experimental results show that ALSensing achieves 52.83% recognition accuracy using 3.7% of total training samples, 58.97% recognition accuracy using 15% of total training samples, while the existing full-supervised system reaches 62.19% recognition accuracy.It demonstrates that ALSensing has a similar performance with baseline but requires much less labeled samples.http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2022.00262active learning;human activity recognition;Wi-Fi |
| spellingShingle | Guangzhi ZHAO Zhipeng ZHOU Wei GONG Shaoqing CHEN Haoquan ZHOU Human activity recognition system based on active learning and Wi-Fi sensing 物联网学报 active learning;human activity recognition;Wi-Fi |
| title | Human activity recognition system based on active learning and Wi-Fi sensing |
| title_full | Human activity recognition system based on active learning and Wi-Fi sensing |
| title_fullStr | Human activity recognition system based on active learning and Wi-Fi sensing |
| title_full_unstemmed | Human activity recognition system based on active learning and Wi-Fi sensing |
| title_short | Human activity recognition system based on active learning and Wi-Fi sensing |
| title_sort | human activity recognition system based on active learning and wi fi sensing |
| topic | active learning;human activity recognition;Wi-Fi |
| url | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2022.00262 |
| work_keys_str_mv | AT guangzhizhao humanactivityrecognitionsystembasedonactivelearningandwifisensing AT zhipengzhou humanactivityrecognitionsystembasedonactivelearningandwifisensing AT weigong humanactivityrecognitionsystembasedonactivelearningandwifisensing AT shaoqingchen humanactivityrecognitionsystembasedonactivelearningandwifisensing AT haoquanzhou humanactivityrecognitionsystembasedonactivelearningandwifisensing |