Mobile Computing Lab.
Research Topics
List of research topics from Yamaguchi Laboratory.
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Adaptive Message Scheduling Assisted by Natural Language Processing Models
This study proposes an adaptive message delivery mechanism for a broker in the WMO Information System 2.0 (WIS2.0), a next-generation world weather Io...

Indoor Object Recognition with WiFi RSSI-Integrated Visual-Language Models
This study proposes a novel method for automatic object recognition and classification in indoor environments using visual-language models (VLMs). Tra...

Victim Detection Based on Shape Features from 3D Point Clouds
Japan experiences frequent natural disasters, including large-scale earthquakes. As seen in the case of the Great Hanshin-Awaji Earthquake, delayed vi...

Map-Aware Super-Resolution GPS Trajectory Reconstruction via Machine Learning
This research aims to realize a novel system for reconstructing high-resolution GPS trajectory data from truncated or low-resolution inputs, addressin...

Policy Optimization for Pedestrian Traffic Management by Surrogation of Simulation Models
Sports events, concerts, and live performances attract large crowds, and the congestion during the return home after such events increases the risk of...

Activity Recognition Using CSI Backscatter with Commodity Wi-Fi
Activity recognition using Wi-Fi CSI (Channel State Information) has become popular due to its low deployment cost, requiring only Wi-Fi devices for a...

Point Cloud-based Fall Detection for Healthcare Applications
Falls pose a significant health risk for older adults, with the WHO reporting them as the second leading cause of accidental deaths worldwide. In Japa...

Distributed Optimization of Shared Object Quality in Hybrid Metaverse for Real-World Integration
Since the outbreak of COVID-19, the metaverse has gained attention as a tool for remote interaction. With the advancement of recent 3D sensing technol...

Understanding Visitor Mobility Patterns in Public Spaces: A Case Study of Wakayama Castle Park
Understanding visitor mobility in public spaces is essential for optimizing transportation services and improving accessibility. This study investigat...

Interpretable Environmental Condition Recognition for Autonomous Driving Using Surrogate Decision Trees
In autonomous driving, sensors play a critical role in perceiving the surrounding environment and ensuring safe driving. However, their performance ca...

Traffic Safety Assistance System for Electric Scooters
In recent years, electric scooters (E-Scooters) have rapidly gained popularity worldwide as a key mode of micromobility. Due to their convenience, low...

Physics-Informed Generative Adversarial Networks for Range-Doppler Map Generation under Inter-Vehicle Occlusion
Deep Learning has recently expanded the potential of radar technology. Integrating neural networks with radar enables automatic feature extraction fro...

LLM-Driven Adaptive Autonomous Robot Navigation via Multimodal Fusion for Dynamic Environments
This research addresses the challenges of autonomous robot navigation in dynamic, high-density environments (e.g., train stations and shopping malls) ...

Quantum Approximation Method and Neural-Integrated Mathematical Optimization Algorithm for Elderly Care Taxi Dispatch Problem
In Japan, the aging population is increasing, leading to a growing number of elderly individuals utilizing nursing care facilities such as day service...

Lightweight Merging Point Prediction on Highway On-Ramps Using Regression Techniques
This study introduces a lightweight machine learning framework for forecasting the merging points of vehicles on on-ramps. Our model, in contrast to p...

Optimizing Nursing Care Taxi Dispatch Leveraging Integer Linear Programming Solvers and Machine Learning
The aging population is creating crucial demand for the transportation services at the facilities for older people. Vehicles should be assigned proper...

Human Presence Detection Using Bluetooth Channel Sounding
Accidents involving children being left behind in vehicles have become a serious social issue both domestically and internationally. To prevent such i...

Synthesis of Pedestrian Movement Patterns: Combining Sparse Location Data with Multi-Spot Density Measurements
In recent years, the utilization of pedestrian flow data has been gaining attention in regional revitalization. Understanding current pedestrian flow ...

Indoor Drone Propeller Speed Estimation Using Wi-Fi CSI
With the evolution of drone technology, its range of applications has expanded to include logistics, surveillance, inspection, agriculture, and other ...

Adaptive Indoor Navigation System Using Human Flow Digital Twin
Digital twin technology is attracting attention as a technology that reproduces objects and systems in physical space in virtual space and coordinates...

Collaborative LLM Agents for Daily Activity Summarization on Edge Devices
In recent years, with the increase in the number of elderly people living alone, the demand for monitoring systems has increased. There are two main r...

Environment-Independent Activity Recognition via Wi-Fi CSI Using an Encoder-Decoder Network
Human Activity Recognition (HAR) using Wi-Fi Channel State Information (CSI) offers a device-free and cost-effective solution for applications in heal...

Investigation of Core Body Temperature Estimation Based on Facial Surface Temperature Using Thermography
Heat stroke occurs due to an increase in core body temperature, making its monitoring crucial for prevention. Core body temperature is typically measu...

LLM as Personable Decision-Making Model for Smart Home Simulation
This research proposes a method for simulating residents' decision-making and daily activities in a smart home environment using a Large Language Mode...

Environment-Independent Wi-Fi CSI Activity Recognition Method Based on an Extended Autoencoder
In recent years, research on human behavior recognition using Wi-Fi has been active, with the following advantages: Wi-Fi has less privacy concerns th...

Energy-Free Sensing and Context Recognition through Photovoltaic Cells
Recently, IoT devices that do not require an external power source, especially energy-free sensing and indoor context recognition, have been attractin...

A Vehicle Tracking Method Based on Distance Estimation Using Dashboard Camera
In recent years, mobility data representing the flow of cars and people in an urban environment is expected to be used for many purposes, such as inve...

Mobile Health System using Facial Image for Assessment of Work Engagement, Recovery and Reattachment
The number of workers' compensation claims and recognized cases related to mental disorders has been increasing annually. In response, the Ministry of...

Environment-Agnostic In-home Human Activity Recognition Using Wi-Fi Signals
Recently, Wi-Fi CSI (channel state information) has been widely studied for low-cost activity recognition with low privacy concern. CSI represen...

A Method for Synthesizing Vehicle Mobility in Urban Areas Using Traffic Surveillance Cameras
We present a case study on synthesizing realistic vehicle mobility using link traffic information extracted from surveillance videos. Our trial has be...

Light-weight Object Detection of 3-D Point Cloud Data by Micro-size LiDAR
3-D recognition technology has been attracting attention and developing rapidly in the fields of obstacle detection in automated driving and robotics....

Dynamic Offset Correction for Smartphone Thermal Cameras Using a Wristband Sensor
Thermal images are widely used to various healthcare applications. However, thermal images captured by smartphone thermal cameras have insufficient ac...

Reliability Estimation of Heart Rate Measurement Using Wrist-Worn Devices
Heart Rate (HR) measurement using wrist-worn devices suffers from noises owing to body movement. Even though many researchers have proposed sophistica...

Data Balancing for Thermal Comfort Datasets Using GANs
Data balancing is an essential preprocessing for proper training of thermal comfort estimators. The development of various machine learning methods he...

Time-Series Physiological Data Balancing for Regression
Many studies have shown the effectiveness of ma- chine learning in estimating psychological or physiological states using physiological data as input....

Estimation of Thermal Sensation Based on Machine Learning via Physiological Sensing
Comfortable air-conditioned environment enhances labor productivity and learning efficiency. In office buildings, schools, and other indoor environmen...

Anomaly Detection of Building Structure from Incomplete Point Cloud Obtained by UAV
Japan has suffered tremendous damage from earthquakes and other natural disasters, including the 1995 Great Hanshin-Awaji Earthquake and the 2016 Kuma...

Localization Focusing on Human Poses Using a Single Camera Towards Social Distance Monitoring During Sports
In recent years, data analysis in sports has become increasingly popular, and recognizing in-game actions plays a crucial role in tactical planning. F...

Drone-based water level detection in flood disasters
Japan was hit by typhoon Hagibis, which came with torrential rains submerging almost eight-thousand buildings. For fast alleviation of and recovery fr...

Operator Data Driven Cell-Selection in LTE-LAA Coexistence Networks
Efficient cell-selection is essential to realize the gains in network performance promised by LTE Licensed Assisted Access (LAA) in the 5GHz unlicense...

Smartwatch-based Face-touch Prediction Using Deep Representational Learning
World Health Organization (WHO) reported that viruses, including COVID-19, can be transmitted by touching the face with contaminated hands and advised...

MicroDeep: In-network Deep Learning by Micro-sensor Coordination
Distributed Execution of Deep Learning in Wireless Sensor NetworksIn wireless sensor networks, microcontrollers associated with sensors are becoming m...

Smartphone User Identification in Cyber-phsyical Space
By utilizing a cyber-physical space composed of constantly scanned objects and people in a three-dimensional physical space using 3D LiDAR and depth c...

Backscatter Tag Detection Method Using Sinusoidal Frames towards Wi-Fi Sensing
There are various methods for recognizing human activities and the status of objects, including camera-based approaches and wearable devices. However,...

Performance Evaluation of Angle of Arrival Estimation by MUSIC Method Using Backscatter Tags
Indoor positioning of people and objects has potential applications in various fields, such as shopping malls, nursing homes, and offices. Possible us...

An Efficient Method for Evaluating Delay Performance Using Worst-Case Estimates Based on Network Calculus
In recent years, modern vehicles have been equipped with a growing number of sensors beyond traditional in-car systems such as navigation systems, ETC...

Person Identification Method Based on 3D Point Cloud Using Small Depth Sensor
In recent years, there has been an increasing demand for systems that improve safety to limit the rapid spread of COVID-19.In particular, it is import...

3D Point Cloud-Based Sitting Posture Recognition Using Deep Learning
The average sitting time for Japanese people is about 7 hours a day, which is the longest among the 20 most developed and middle-income countries. I...

Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs
The growing demand for intelligent environments unleashes an extraordinary cycle of privacy-aware applications that makes individuals' life more comfo...

Home Activity Recognition Using Low-Grain Branch Circuit Power Consumption
In recent years, HEMS (Home Energy Management System), which monitors the amount of electricity and gas used in the home and "automatically controls" ...

Identification of Conductive Tags Based on Radio Reflection Patterns Using LSTM
Identifying humans and things (i.e., target identification) is essential for various applications such as inventory management, working time managemen...

Multi-Lane Detection and Tracking Using Vision for Traffic Situation Awareness
In recent years, the number of vehicles equipped with in-vehicle cameras has been increasing. However, most of the images from in-vehicle cameras of o...

Video-based Human Tracking Robust to Dynamic Camera Position and Orientation Changes
In recent years, RGB cameras and depth cameras integrated into Augmented Reality (AR) glasses and smart glasses have been utilized for recognizing peo...

Body Part Detection from Neonatal Thermal Images Using Deep Learning
Because premature infants have an immature thermoregulatory function, proper temperature control with an incubator is essential. Currently, the probe ...

Robust Pedestrian Tracking Against Occlusions in Public Spaces Using 3D Point Clouds from Depth/LiDAR Sensors
We propose an approach to pedestrian tracking in a public passageway with pedestrians, such as those carrying luggage and baby strollers, and family g...