Yuuki Nishiyama

EN JA

Research

Research Topic

My main research area is ubiquitous computing, and my research goal is to improve people's well-being using information technologies. To achieve this goal, I am conducting research not only on individual- and group-centered behavior recognition, analysis, accumulation, and prediction technologies, but also on intervention-based behavior change promotion. Furthermore, I engage in interdisciplinary collaborations with researchers both domestically and internationally in application domains such as healthcare, sports, and education.

Research Overview

Current Projects

AED Hunter: Gamified AED Retrieval Training System

Ongoing 2024 - Present

AED Hunter: Gamified AED Retrieval Training System

Investigating AED retrieval in real-world settings through gamified mobile interaction and sensing.

Mobile Sensing Gamification Public Health

A-UVI: GNSS-Assisted UV Index Estimation Method

Ongoing 2022 - Present

A-UVI: GNSS-Assisted UV Index Estimation Method

Individual-level precise UV exposure assessment using satellite signals and Earth observation data.

GNSS UV Index Mobile Sensing

Detecting & Predicting Micro-Mobility Riders' Behaviors

Ongoing 2021 - Present

Detecting & Predicting Micro-Mobility Riders' Behaviors

Detecting and predicting driving behavior of sharing bikes, scooters, and other mobility users using consumer devices to improve safety.

Mobile Sensing Machine Learning Safety

Silent Speech Interface Using Earbuds

Ongoing 2023 - Present

Silent Speech Interface Using Earbuds

A silent speech interface using consumer earbuds with ultrasonic sensing to recognize silently spelled words, enabling hands-free and voice-free text input with user authentication.

Earable Computing Silent Speech HCI

SoNotify: Interruptability-Aware Notification via Earable Devices

Ongoing 2023 - Present

SoNotify: Interruptability-Aware Notification via Earable Devices

Investigating and optimizing acceptable voice-based notification timings through earable devices to minimize user interruption.

Earable Computing Interruptability Notification

Health Tracking Methods Using Passive Mobile Sensing

Ongoing 2019 - Present

Health Tracking Methods Using Passive Mobile Sensing

Application of passive mobile and wearable sensing technologies to health tracking, including early detection of postpartum depression, disease treatment monitoring, symptom tracking, and medication support in collaboration with medical institutions.

Mental Health mHealth Wearable Disease Tracking Mobile Sensing

Baby and Childcare Context Recognition

Ongoing 2022 - Present

Baby and Childcare Context Recognition

Detecting and recognizing baby and childcare activities using off-the-shelf wearable devices and inertial sensors.

Child Safety Sensing Activity Recognition

AthleteLife: Encouraging Athletes' Skills, Physical, and Mental Condition

Ongoing 2020 - Present

AthleteLife: Encouraging Athletes' Skills, Physical, and Mental Condition

Data collection and reduction platform using smartphones and wearable devices to track athlete condition and performance, developed collaboratively with student-athletes.

Sports Wearable Well-being

City-Scale Traffic Behavior Analysis and Simulation

Ongoing 2021 - Present

City-Scale Traffic Behavior Analysis and Simulation

Understanding city-scale traffic behavior and optimization of micro-mobility rearrangement while estimating greenhouse gas emissions.

Traffic Analysis Simulation Sustainability

MOCHA: Student Life Support and Encouragement Platform

Ongoing 2020 - Present

MOCHA: Student Life Support and Encouragement Platform

Analysis of student behavior patterns and development of systems supporting student life using mobile passive sensing.

Student Life Mobile Sensing Well-being

Passive Mobile & Wearable Sensing Framework

Ongoing 2019 - Present

Passive Mobile & Wearable Sensing Framework

AWARE is an open-source sensing framework passively collecting sensor data from smartphones, used in over 200 academic papers. Responsible for iOS, macOS, and watchOS development.

Open Source Sensing Framework Ubiquitous Computing

Deep Learning-Based Compressed Sensing for Mobile Sensor Data

Ongoing 2022 - Present

Deep Learning-Based Compressed Sensing for Mobile Sensor Data

Integrating deep learning with compressed sensing to efficiently compress and reconstruct smartphone sensor data, addressing storage challenges from diverse mobile sensors.

Deep Learning Compressed Sensing Mobile Sensing

Past Projects

Supplication: Team-Level Behavior Change Platform

Completed 2014 - 2018

Supplication: Team-Level Behavior Change Platform

Platform enhancing team-level behavior change using lifelog information sharing among team members based on competition and collaboration.

Behavior Change Gamification Health

Detecting Infection Prevention Behaviors

Completed 2020 - 2023

Detecting Infection Prevention Behaviors

Robust detection of preventive behaviors (mask-wearing, hand-washing, disinfection) using commercially available wearable devices.

Wearable Activity Recognition Health

Senbay Kit

Completed 2015 - 2020

Senbay Kit

Platform embedding sensor data into video frames using animated 2D barcodes via real-time video processing. Supports iOS, Android, macOS, and web.

Video Processing Sensor Data Open Source

SelfGuard

Completed 2019 - 2022

SelfGuard

Self-tracking application for recording daily activities including visited places, mobility range, and duration using location sensors.

Self-Tracking Location Activity Recognition

Ripken: Baseball Injury Prevention System

Completed 2016 - 2019

Ripken: Baseball Injury Prevention System

Wearable motion sensor worn on elbow to detect inappropriate throwing form in baseball players, preventing shoulder and elbow injuries.

Sports Wearable Injury Prevention