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Titlebook: Collaboration Technologies and Social Computing; 9th International Co Takashi Yoshino,Takaya Yuizono,Julita Vassileva Conference proceeding

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41#
發(fā)表于 2025-3-28 15:24:20 | 只看該作者
42#
發(fā)表于 2025-3-28 19:51:24 | 只看該作者
Sanjit Kumar Roy,Dilip S. Mutum,Bang Nguyenan architecture that allows for contacting mobile devices, receive their positions and evaluate the round-trip time of this approach. We describe the influences and consequences for our scenario. Results from this work can be used for other collaboration approaches based on mobile services.
43#
發(fā)表于 2025-3-29 01:39:06 | 只看該作者
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發(fā)表于 2025-3-29 04:44:43 | 只看該作者
45#
發(fā)表于 2025-3-29 08:49:41 | 只看該作者
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發(fā)表于 2025-3-29 12:45:24 | 只看該作者
A Method for Estimating Worker States Using a Combination of Ambient Sensors for Remote Collaborati module with two sensors is tested to estimate the four states of a user by creating a self-organizing map (SOM) using the sensor data. Tests show that the prototype module estimates the user state by classifying it into one of three clusters, including “key typing” and “l(fā)eaving a seat,” and others.
47#
發(fā)表于 2025-3-29 16:47:06 | 只看該作者
48#
發(fā)表于 2025-3-29 23:43:27 | 只看該作者
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發(fā)表于 2025-3-30 00:20:02 | 只看該作者
50#
發(fā)表于 2025-3-30 04:56:25 | 只看該作者
A Method for Estimating Worker States Using a Combination of Ambient Sensors for Remote Collaboratiese methods have some drawbacks. An estimation method that uses both vibration sensors and distance sensors is presented in this research. A prototype module with two sensors is tested to estimate the four states of a user by creating a self-organizing map (SOM) using the sensor data. Tests show tha
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