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Shimosaka Research Group

pursuing MIUBIQ (machine intelligence in UbiComp Research)

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  • iv_slider
    How to drive safely & defensively?
    Learning from experts.
    Check out our project
  • webslide_urbdyn-1
    Urban Dynamics
    Location data from smartphones
    help us understand demographics of cities.
    Check out our project
  • fullyConnectedCRFs-dataset
    You're not alone.
    Collective Activity Recognition
    with Fully Connected CRFs
    Check out our project
  • top_image_steered_crowdsensning
    Steered CrowdSensing
    You're more valuable than you think.
    Help people with your palm.
    Check out our project
  • wearable
    Pedometers see through the deep inside of your community.
    Working-Relationship Detection
    from Fitbit Sensor Data
    Check out our project

Introduction

Welcome to Shimosaka Research Group.

This laboratory pursues innovative machine intelligence in ubiquitous and pervasive computing.

Research topics include deployments of wearable or ambient sensors for pervasive sensing, intelligent data analytics for modeling human behavior, and lifelog (quantify-self-technology).

The lab. is led by Masamichi Shimosaka who collaborate with graduate students in Dept of Computer Science in ISE/TITECH.

Towards succeeds on next level applications in ubiquitous computing, we collaborate with companies and governmental organizations as well as national scientific foundation in Japan.

Masamichi Shimosaka has moved to CS/ISE/TITECH from IMI/IST/UTokyo since July 2015. The group has restarted as lab. at TITECH!

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Our Projects

Forecasting Crowded Events using Public Announcements with Large Language Models

Forecasting Crowded Events using Public Announcements with Large Language Models

2024/10/15 |
Forecasting Lifespan of Crowded Events Inspired by Acoustic Synthesis Technique

Forecasting Lifespan of Crowded Events Inspired by Acoustic Synthesis Technique

2024/07/04 |
Device-Free Multi-Person Indoor Localization Using the Change of ToF

Device-Free Multi-Person Indoor Localization Using the Change of ToF

2023/03/03 |
Adaptive incremental beacon placement optimization for crowd density monitoring applications

Adaptive incremental beacon placement optimization for crowd density monitoring applications

2021/11/01 |
Fine-grained Urban Dynamics Prediction using Large-Scale Mobile Phone Location Data

Fine-grained Urban Dynamics Prediction using Large-Scale Mobile Phone Location Data

2021/10/05 |
Robustifying Wi-Fi localization by Between-Location data augmentation

Robustifying Wi-Fi localization by Between-Location data augmentation

2021/09/28 |
Driving behavior modeling at un-signalized intersection with inverse reinforcement learning on sequential MDPs

Driving behavior modeling at un-signalized intersection with inverse reinforcement learning on sequential MDPs

2021/07/12 |
Construction vehicle activity recognition based on sensor data

Construction vehicle activity recognition based on sensor data

2021/03/16 |
Multi-Task Multi-Order Poisson Regression for urban dynamics prediction

Multi-Task Multi-Order Poisson Regression for urban dynamics prediction

2021/03/15 |
Fast and stable IRL based driving behavior modeling in continuous state space

Fast and stable IRL based driving behavior modeling in continuous state space

2021/03/15 |
Predicting anomalous crowds with anomaly score-matching-based regression using transit search logs and GPS mobility logs

Predicting anomalous crowds with anomaly score-matching-based regression using transit search logs and GPS mobility logs

2021/02/24 |
GroupWiLo: Accurate and Low-cost Wi-Fi-based Localization with Minimization of Parameter Total Variation

GroupWiLo: Accurate and Low-cost Wi-Fi-based Localization with Minimization of Parameter Total Variation

2020/11/10 |
Adaptive driving behavior modeling towards diverse driving situations using inverse reinforcement learning

Adaptive driving behavior modeling towards diverse driving situations using inverse reinforcement learning

2020/11/02 |
Robust indoor localization across smartphone models with ellipsoid features from multiple RSSIs

Robust indoor localization across smartphone models with ellipsoid features from multiple RSSIs

2017/10/23 |
Early destination prediction by mobile phone sensing

Early destination prediction by mobile phone sensing

2017/02/04 |
Irregularity prediction based on transit app logs

Irregularity prediction based on transit app logs

2017/02/04 |
Working-Relationship Detection from Fitbit Sensor Data

Working-Relationship Detection from Fitbit Sensor Data

2015/10/05 |
Urban dynamics analysis with large-scale Location data from smartphones

Urban dynamics analysis with large-scale Location data from smartphones

2015/10/05 |
Modeling risk anticipation and defensive driving on residential roads using inverse reinforcement learning

Modeling risk anticipation and defensive driving on residential roads using inverse reinforcement learning

2015/08/17 |
Consistent collective activity recognition with fully connected CRFs

Consistent collective activity recognition with fully connected CRFs

2014/09/01 |

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Recent News

  • Presenting our paper on Exploiting Periodic UWB CIRs for Robust Activity Recognition with Attention-aware Multi-level Wavelet at PerCom2025 2025/02/15
  • 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
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