Smartphone-Based Human Activity Recognition
The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based a...
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Định dạng: | Sách |
Ngôn ngữ: | English |
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Springer
2015
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Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58589 |
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oai:scholar.dlu.edu.vn:DLU123456789-585892023-11-11T06:17:32Z Smartphone-Based Human Activity Recognition Reyes Ortiz, Jorge Luis Human activity recognition Smartphones Location-based services The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies 2015-09-29T08:11:13Z 2015-09-29T08:11:13Z 2015 Book 978-3-319-14274-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58589 en application/pdf Springer |
institution |
Thư viện Trường Đại học Đà Lạt |
collection |
Thư viện số |
language |
English |
topic |
Human activity recognition Smartphones Location-based services |
spellingShingle |
Human activity recognition Smartphones Location-based services Reyes Ortiz, Jorge Luis Smartphone-Based Human Activity Recognition |
description |
The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies |
format |
Book |
author |
Reyes Ortiz, Jorge Luis |
author_facet |
Reyes Ortiz, Jorge Luis |
author_sort |
Reyes Ortiz, Jorge Luis |
title |
Smartphone-Based Human Activity Recognition |
title_short |
Smartphone-Based Human Activity Recognition |
title_full |
Smartphone-Based Human Activity Recognition |
title_fullStr |
Smartphone-Based Human Activity Recognition |
title_full_unstemmed |
Smartphone-Based Human Activity Recognition |
title_sort |
smartphone-based human activity recognition |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58589 |
_version_ |
1782540606921244672 |