Smart phone sensor data: Comparative analysis of various classification methods for task of human activity recognition
Human Activity Recognition has a long history of research and requires further exploration to produce useful and optimal outcomes. Areas such as medicine, daily routine, and security are some benefits that smartphone enables via embedded sensors. Our work has chosen sensor data of six activities suc...
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| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers
2018
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/33447/1/Smart%20phone%20sensor%20data%2C%20comparative%20analysis%20of%20various%20classification%20methods%20for%20task%20of%20human%20activity%20recognition.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33447/2/Smart%20Phone%20Sensor%20Data%2C%20Comparative%20Analysis%20of%20Various%20Classification%20Methods%20for%20Task%20of%20Human%20Activity%20Recognition.pdf https://eprints.ums.edu.my/id/eprint/33447/ https://ieeexplore.ieee.org/document/9772905 |
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https://eprints.ums.edu.my/id/eprint/33447/1/Smart%20phone%20sensor%20data%2C%20comparative%20analysis%20of%20various%20classification%20methods%20for%20task%20of%20human%20activity%20recognition.ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/33447/2/Smart%20Phone%20Sensor%20Data%2C%20Comparative%20Analysis%20of%20Various%20Classification%20Methods%20for%20Task%20of%20Human%20Activity%20Recognition.pdf
https://eprints.ums.edu.my/id/eprint/33447/
https://ieeexplore.ieee.org/document/9772905