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Titlebook: Human Activity Sensing; Corpus and Applicati Nobuo Kawaguchi,Nobuhiko Nishio,Kristof Van Laerho Book 2019 Springer Nature Switzerland AG 20

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發(fā)表于 2025-3-25 06:07:26 | 只看該作者
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發(fā)表于 2025-3-25 11:31:32 | 只看該作者
Vito Janko,Martin Gjoreski,Ga?per Slapni?ar,Miha Mlakar,Nina Re??i?,Jani Bizjak,Vid Drobni?,Matej MaStudierende verfasst, die sofort praktisch verwertbares Basiswissen erwerben m?chten. Insbesondere KMUs, die ihre wirtschaftlichen Aktivit?ten über Binnengrenzen hinweg ausdehnen m?chten oder ihr Beschaffungswesen internationalisieren m?chten, stehen im Blickpunkt.978-3-658-05949-1
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發(fā)表于 2025-3-25 22:44:48 | 只看該作者
Compensation Scheme for PDR Using Component-Wise Error Modelsased on the assumption that can obtain sparse locations. Sparse locations are discontinuous locations obtained by using an absolute localization method or passage detection devices (ex. RFID tag, BLE beacon, Spinning Magnet Marker). Our proposal scheme focuses on being able to install anywhere in th
26#
發(fā)表于 2025-3-26 01:51:23 | 只看該作者
Towards the Design and Evaluation of Robust Audio-Sensing Systemsunder changing hardware and environment conditions that are expected to occur in-the-wild. This chapter motivates this challenging research problem in the context of audio sensing models, by presenting three empirical studies which evaluate the impact of hardware and environment variabilities on clo
27#
發(fā)表于 2025-3-26 07:21:33 | 只看該作者
A Wi-Fi Positioning Method Considering Radio Attenuation of Human Bodythem, Wi-Fi positioning is attracting attention because of its low introduction cost. However, since the Wi-Fi is blocked by the human body, the RSSI decreases. Therefore, we investigated radio wave attenuation by human body in preliminary experiments. We describe related research and its problems.
28#
發(fā)表于 2025-3-26 09:52:41 | 只看該作者
Drinking Gesture Recognition from Poorly Annotated Data: A Case Study5 “sensor events” and users reported 1808 “drink events” through experience sampling. We first show that the annotations obtained through ES do not reflect accurately true drinking events. We present then how we maximise the value of this dataset through two approaches aiming at improving the qualit
29#
發(fā)表于 2025-3-26 12:39:10 | 只看該作者
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