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Shimosaka Research Group
pursuing MIUBIQ (machine intelligence in UbiComp Research)
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Projects
(page 3)
Projects
Steered Crowdsensing
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
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Recent News
Presenting our paper on revealing Universities’ Atmosphere from Visitor Interests has been presented at IEEE BigData 2024
2024/12/16
Our paper on adaptive incremental-decremental BLE placement optimization for accurate indoor positioning has been presented at IPIN2024.
2024/10/23
Presenting two papers at SIGSPATIAL 2024
2024/10/23
Forecasting Crowded Events using Public Announcements with Large Language Models
2024/10/15
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
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