Shimosaka Research Group
pursuing MIUBIQ (machine intelligence in UbiComp Research)
Counting People in Crowded Environment
Driver behavior modeling from multiple drivers’ data
Behavior Prediction from Trajectories in a House by Estimating Transition Model Using Stay Points
Presenting our paper on Wi-Fi-based indoor localization maintenance method via group-wise total variation regularization at IPIN2019
Presenting our project on VR art “CityAtmosphere” in UbiComp 2019 Demos.
Presenting our paper on large-scale fine-grained urban dynamics prediction at AAAI2019
Presenting our paper on population pattern prediction at ACM SIGSPATIAL2018
New members of September 2018
Presenting our paper on Early Destination Prediction with Spatio-temporal User Behavior Patterns in UbiComp 2018
New Members of April 2018
Our paper on Early Destination Prediction with Spatio-temporal User Behavior Patterns has been published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
Robust indoor localization across smartphone models with ellipsoid features from multiple RSSIs
New Members of September 2017
Copyright 2015 · Shimosaka Research Group at TITECH