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

Accommodation

Potential of Wearable Technology for Super-Aging Societiesheart 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.

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E. Bornscheuer,K. Meyerholz,K. H. Wunderlichll introduce the tasks being tackled for autonomous driving. The tasks introduced here are object detection, human pose estimation, and semantic segmentation from images and other sensors. By combining these methods, it is possible to realize safer automatic operation system.

弄脏

半导体

Interlocking

Visualization of Real World Activity on Group Workarshmallow and spaghetti within a limit of time. Through the experiments, we confirmed that the proposed method has potential to become a evaluation tool for visualizing the activity of the group work.

Directed

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choleretic

Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analyticsive learning analytics platforms that trigger contextual reminders to support people at all ages to live and learn actively regardless of age-related differences of cognitive capabilities. We discuss that resolving critical usability problems for elderly people could open up a plethora of opportunit

Innocence

Design and Evaluation of Seamless Learning Analyticsthem, this study developed an innovative system called VASCORLL 2.0 (Visualization and analysis System for Connecting Relationships of Learning Logs). An experiment was conducted to evaluate whether VASCORLL 2.0 can increase learners’ learning opportunities. As a result, they were able to increase t

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Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Dataiminative sequential patterns, i.e., sequential patterns that are useful for discriminating different group of animals. We apply the method to several animal trajectory datasets for demonstrating its effectiveness.