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Shimosaka Research Group
pursuing MIUBIQ (machine intelligence in UbiComp Research)
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Projects
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Projects
An easy-to-install system for daily walking ability assessment with a distance sensor array
Hand Shape Classification with a Wearable Wrist Contour Sensor
Health score prediction with high-level activity features
Frustratingly Simplified Deployment in Wi-Fi Localization via Route Annotation.
Indoor activity recognition with discriminative deformable part models
Modeling and Predicting Going-out Behavior via Dirichlet process mixture
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
Driver behavior modeling based on Bayesian collaborative learning
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Recent News
Forecasting Lifespan of Crowded Events Inspired by Acoustic Synthesis Technique
2024/07/04
Our paper on forecasting lifespan of crowded events has been published in IEEE Access
2024/07/04
Presenting our paper on Stable IRL from failed demonstrations at IV2024
2024/05/30
Presenting our demo on the application “CityScouter” at UbiComp 2023
2023/10/11
Presenting our paper on efficient Bluetooth beacon deployment for campus-scale crowd density monitoring application at UbiComp2023
2023/10/05
Our paper on accurately forecasting anomalous crowd dynamics has been published in IEEE Pervasive Computing
2023/10/03
Presenting our paper on data-driven Bluetooth RSSI simulation with neural generative models at IPIN2023
2023/09/14
Device-Free Multi-Person Indoor Localization Using the Change of ToF
2023/03/03
Presenting our paper on Device-Free Multi-Person Indoor Localization Using the Change of ToF at PerCom2023
2023/02/28
Our paper on Efficient Adaptive Beacon Deployment Optimization for Indoor Crowd Monitoring has been published in IMWUT.
2023/01/24
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