Sensors for Human Activity Recognition / / edited by Hui Liu, Hugo Gamboa, Tanja Schultz.
Human activity recognition (HAR) and human behavior recognition (HBR) play increasingly important roles in the digital age. High-quality sensory observations applicable to recognizing users' activities and behaviors, including electrical, magnetic, mechanical (kinetic), optical, acoustic, therm...
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Place / Publishing House: | Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023. |
Year of Publication: | 2023 |
Language: | English |
Physical Description: | 1 online resource (216 pages) |
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Sensors for Human Activity Recognition / edited by Hui Liu, Hugo Gamboa, Tanja Schultz. Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2023. 1 online resource (216 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. Human activity recognition (HAR) and human behavior recognition (HBR) play increasingly important roles in the digital age. High-quality sensory observations applicable to recognizing users' activities and behaviors, including electrical, magnetic, mechanical (kinetic), optical, acoustic, thermal, and chemical biosignals, are inseparable from sensors' sophisticated design and appropriate application. Traditional sensors suitable for HAR and HBR, including external sensors for smart homes, optical sensors such as cameras for capturing video signals, and bioelectrical, biomagnetic, and biomechanical sensors for wearable applications, have been studied and verified adequately. They continue to be researched in depth for more effective and efficient usage, and brand-new areas facilitated by sensor-based HAR/HBR are emerging, such as interactive edutainment, single-motion duration analysis, time series information retrieval, handcrafted and high-level feature design, and fall detection. Meanwhile, innovative sensor research for HAR or HBR is also very active in the academic community, including new sensors appropriate for HAR/HBR, new designs and applications of the above-mentioned traditional sensors, and the usage of non-traditional HAR-/HBR-related sensor types, among others. Sensor networks Congresses. 3-0365-7555-3 Schultz, Tanja, editor. Gamboa, Hugo, editor. Liu, Hui, editor. |
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English |
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eBook |
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Schultz, Tanja, Gamboa, Hugo, Liu, Hui, |
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Schultz, Tanja, Gamboa, Hugo, Liu, Hui, |
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TeilnehmendeR TeilnehmendeR TeilnehmendeR |
title |
Sensors for Human Activity Recognition / |
spellingShingle |
Sensors for Human Activity Recognition / |
title_full |
Sensors for Human Activity Recognition / edited by Hui Liu, Hugo Gamboa, Tanja Schultz. |
title_fullStr |
Sensors for Human Activity Recognition / edited by Hui Liu, Hugo Gamboa, Tanja Schultz. |
title_full_unstemmed |
Sensors for Human Activity Recognition / edited by Hui Liu, Hugo Gamboa, Tanja Schultz. |
title_auth |
Sensors for Human Activity Recognition / |
title_new |
Sensors for Human Activity Recognition / |
title_sort |
sensors for human activity recognition / |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute, |
publishDate |
2023 |
physical |
1 online resource (216 pages) |
isbn |
3-0365-7555-3 |
callnumber-first |
T - Technology |
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TK - Electrical and Nuclear Engineering |
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TK7872 |
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Congresses. |
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Not Illustrated |
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600 - Technology |
dewey-tens |
680 - Manufacture for specific uses |
dewey-ones |
681 - Precision instruments & other devices |
dewey-full |
681.2 |
dewey-sort |
3681.2 |
dewey-raw |
681.2 |
dewey-search |
681.2 |
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