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Titlebook: Distributed, Ambient and Pervasive Interactions: Technologies and Contexts; 6th International Co Norbert Streitz,Shin’ichi Konomi Conferenc

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樓主: ALOOF
41#
發(fā)表于 2025-3-28 16:59:24 | 只看該作者
Easy-to-Install Methods for Indoor Context Recognition Using Wi-Fi Signalses, indoor context recognition using Wi-Fi signals has been attracting attention. This paper introduces our studies on recognition of indoor context information based on Wi-Fi signals: (1) easy-to-install indoor positioning, (2) accurate state estimation of indoor objects, and (3) position-independent gesture recognition.
42#
發(fā)表于 2025-3-28 19:55:28 | 只看該作者
43#
發(fā)表于 2025-3-29 02:02:22 | 只看該作者
44#
發(fā)表于 2025-3-29 05:07:34 | 只看該作者
The Sun Recorded Through Historyheart rate and other vital signals. Conversely, smartwatches exhibit significant potential to generate new value in our daily life. In the paper, we introduce three applications with smartwatches published in extant studies and discuss the applicability of smartwatch applications to super-aging societies.
45#
發(fā)表于 2025-3-29 08:00:36 | 只看該作者
46#
發(fā)表于 2025-3-29 12:02:02 | 只看該作者
47#
發(fā)表于 2025-3-29 18:05:54 | 只看該作者
Conference proceedings 2018rs thoroughly cover the entire?field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas...TheLNCS 10921 and LNCS 10922 contains papers addressing the following major topics:?Technologies and Contexts ( Part I) and??Understanding Humans (Part IΙ).
48#
發(fā)表于 2025-3-29 21:02:54 | 只看該作者
Conference proceedings 20182018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, held in Las Vegas, NV, USA in July 2018. The total of 1171 papers and 160 posters presented at the 14 colocated HCII 2018 conferences.?.The papers were carefully reviewed and selected from 4346 submissi
49#
發(fā)表于 2025-3-30 01:14:54 | 只看該作者
Survey on Vision-Based Path Predictionand the internal state have been proposed. In this survey, we systematically summarize methods of path prediction that take video as input and extract features from the video. Moreover, we introduce datasets used to evaluate path prediction methods quantitatively.
50#
發(fā)表于 2025-3-30 06:13:07 | 只看該作者
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