We show that sensor modalities are suitable to recognize the spatial adjacency of users with different spatio-temporal granularity. We find that individual user ...
We show that sensor modalities are suitable to recognize the spatial adjacency of users with different spatio-temporal granularity. We find that individual user ...
This work gathers a multimodal dataset for proximity sensing, including several proximity verification sets, to be able to associate sensor's data with a ...
In another aspect addressed in this work, it is noted that handling of multi-user location information over extended periods of time generates large volumes ...
Multimodal co-presence detection with varying spatio-temporal granularity. M Haus, AY Ding, J Ott. 2020 IEEE International Conference on Pervasive Computing ...
2020 IEEE International Conference on Pervasive Computing and ...
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Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity pp. 1-7. Capturing User-defined Facial Features for Scientific Evidence of Elderly ...
We provide a configuration framework to control the spatial granularity of user's proximity by managing the lighting infrastructure through customized visible ...
Multimodal co-presence detection with varying spatio-temporal granularity. M Haus, AY Ding, J Ott. 2020 IEEE International Conference on Pervasive Computing ...
Feb 18, 2020 · Dataset for evaluation of co-presence detection. We conducted a study with 126 subjects, over three months, collecting data from various ...
Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity. Proceedings of the IEEE International Conference on Pervasive Computing and ...