Sensing the World with AI

AI-based Situational Awareness from Multimodal Sensing Signals

What's New Projects

About AI LAB

Our lab studies AI-based sensing and localization using signals from wearable and wireless devices. We analyze various human-related signals to estimate location, movement, and physiological states, developing intelligent systems that understand how people interact with their environment.

Localization

Researching AI-based methods to estimate human location and movement.

Machine & Deep Learning

Developing models that learn from multimodal signals using deep learning techniques.

Bio-signal Analysis

Analyzing PPG and wearable sensor data to understand physiological states.

Indoor Positioning

Building intelligent systems for accurate indoor tracking and spatial awareness.

Research Areas

PPG-based Threat Detection

Develop an automatic detection system for risk signals arising from emotional responses and transient physiological anomalies using low-cost sensors

PPG Signals Wearable device Threat detection

Wi-Fi CSI Based Localization and Pose Estimation

Estimate indoor position and generate accurate pose using amplitude and phase in WiFi CSI signals for advanced localization.

WiFi Signal Multi-task Model Localization

Geofencing-based Abnormal Path Detection

Using GPS data, we model the daily movement patterns of protected individuals and detect abnormal paths through GPR-based prediction and comparison.

GPS GPR(Gaussian Process regression) Localization

LLM-driven Situation Reasoning

Consolidates multimodal detections and history into operator-ready summaries and searchable reports for rapid response.

LLM SQL Situation Analysis Database

IMU-based Risk

Detects real-time physical risk by quantifying motion intensity and patterns from wearable accelerometers, enabling severity estimation on device.

Motion Sensing Risk Detection Wearable Devices

LAB News

2025-11-21

Presented at the KICS Conference 2025

2025-11-13

Introduced our booth at the department career fair

2025-11-06

Presented at the IPNT Conference 2025

2025-10-22 ~ 2025-10-26

Exhibited at the Korea Police World Expo 2025

2025-08-01

Collaborated with Lotte Property & Development for a smartwatch-based personal safety demo at Lotte Tower

2025-06-20

Presented at the KICS Summer Conference 2025

2024-05-25

Career lecture by our lab's alum Sohee Yoo, now working at NH Nonghyup AI Research Center

2025-01-07

Received the CES Innovation Award at CES 2025

2024-11-06

Presented at the IPNT Conference 2024

2024-10-23

Exhibited at the Korea Police World Expo 2024 - Demonstration of VR-based threat-detection technology by a Special Forces officer

2024-06-26

Attended ECC in Stockholm and met with Prof. Karl H. Johansson and researchers from Ericsson

2024-05-24

Received an award at the Annual Symposium of Kips 2024

2024-01-10

Participated in CES 2024

2023-11-07

Visited Samsung R&D Center in Vietnam for collaborative research on applying AI to Galaxy Watch.

2022-09-15

A celebratory coffee truck visited our campus after our team received the Growth Award from D.CAMP

Member

Jaehyun Yoo

Associate Professor

Indoor Localization · Machine Learning

jhyoo@sungshin.ac.kr

Hajeong Kim

Undergraduate Student

PPG-based Risk Detection

happykhj67@gmail.com

Seungyeon Kim

Undergraduate Student

IMU-based Risk Detection

20231330@sungshin.ac.kr

Jimin Kim

Undergraduate Student

PPG-based Risk Detection

20231342@sungshin.ac.kr

Jung-yoon Moon

Undergraduate Student

PPG-based Risk Detection

sally0927.jm@gmail.com

Haereum Park

Undergraduate Student

LLM-driven Situation Reasoning

20231367@sungshin.ac.kr

Juyeon Park

Undergraduate Student

LLM-driven Situation Reasoning

joannapark0417@gmail.com

Yoonji Shin

Undergraduate Student

Geofencing-based Localization

20231379@sungshin.ac.kr

Geung-yo Oh

Undergraduate Student

WiFi-based Localization & Pose Estimation

20231383@sungshin.ac.kr

Jiyeon Hong

Undergraduate Student

WiFi-based Localization & Pose Estimation

20241283@gmail.com

Chan-young Joo

M.S.

Works at IPIN LABS

Donggyu Lee

M.S.

Works in the AI Vision industry

Elaiza Salamat Nicole

M.S.

Works at a research institute in the Philippines

Hassan Barakat Mohammed

M.S.

Works at the Agricultural Research Center in Egypt

Sohee Yoo

B.S.

AI developer in NH Bank

Ha-eun Oh

B.S.

Master's Student at DGIST

Jihyung Kim

B.S.

Works in the AI industry

Gyuwon Hwang

B.S.

Publications

Conference 2025 · KICS Autumn Conference

WiFi CSI를 이용한 잠재적 위치 추론

Oh Geung Yo, Hong Ji Yeon, Yoo Jae Hyun

view paper

Conference 2025 · KICS Autumn Conference

LLM 기반 보호대상자 데이터 관리 시스템: SQL Agent 와 자동 보고 기능의 통합

Park Ju Yeon, Park Hae Reum, Yoo Jae Hyun

view paper

Conference Best Paper 2025 · KICS Autumn Conference

스마트워치 가속도계 기반 실시간 온디바이스 위험 수준 인식 기법

Kim Seung Yeon, Yoo Jae Hyun

view paper

Conference 2025 · KICS Autumn Conference

스마트워치 PPG 신호 기반 무호흡 감지 알고리즘

Kim Ha Jeong, Moon Jung Yoon, Kim Ji Min, Yoo Jae Hyun

view paper

Conference 2025 · IPNT Conference

가우시안 프로세스를 이용한 신변보호자 경로 학습

Yoon-ji Shin, Hee-Rang An, Jae-Hyun Yoo

view paper

Conference 2025 · KICS Summer Conference

생성형 AI를 활용한 스마트워치 PPG 신호 증강 및 유효성 검증 연구

Hajeong Kim, Jimin Kim, Jungyoon Moon, Jaehyun Yoo

view paper

Journal 2025 · The Journal of Korean Institute of Communications and Information Science

Detection of Psychological Risk for Protected Individuals by Using PPG Signals from Smartwatch

Sohee Yoo, Gyuwon Hwang, Jaehyun Yoo

view paper

Journal 2025 · Control Engineering Practice(JCR Q1, I.F 4.6)

Event-triggered control with reliable Gaussian process learning for remote UAV control

Dohyun Jang(Holiday Robotics), Jaehyun Yoo

view paper

Journal 2025 · Applied Sciences

Real-time detection of at-risk movements using smartwatch IMU sensors

Haeun Oh, Jaehyun Yoo

view paper

Conference Best Paper 2024 · IPNT Conference

스마트워치를 통해 실시간 위치 추적되는 신변보호자의 자동 위협 인지 기술 개발

Gyuwon Hwang, Sohee Yoo, Jihyung Kim, Ha-eun Oh, Hajeong Kim, Jaehyun Yoo

view paper

Conference Best Paper 2024 · Annual Conference of KIPS

웨어러블 디바이스 착용자의 신변 보호를 위한 PPG 신호 처리 및 위협 감지 알고리즘 개발

Sohee Yoo, Gyuwon Hwang, Jaehyun Yoo

view paper

Journal 2024 · Sensors Jounal

Wi-fi fingerprint indoor localization by semi-supervised generative adversarial network

Jaehyun Yoo

view paper

Journal 2024 · Sensors Journal(Basel, Switzerland)

Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection

Gyuwon Hwang, Sohee Yoo, Jaehyun Yoo

view paper

Conference 2023 · IPIN-WiP

Spatio-temporal Feature Extraction of Magnetic Patterns for Indoor Positioning.

Eunji Ju, Jaeho Jang, Jaehyun Yoo

view paper

Journal 2023 · Journal of Positioning, Navigation, and Timing

Unlabeled Wi-Fi RSSI Indoor Positioning by Using IMU

Chanyeong Ju, Jaehyun Yoo

view paper

Journal 2023 · Journal of Positioning, Navigation, and Timing

Indoor Path Recognition Based on Wi-Fi Fingerprints

Donggyu Lee, Jaehyun Yoo

view paper

Conference 2023 · 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)

Machine learning for indoor localization without ground-truth locations

Chanyeong Ju, Jaehyun Yoo

view paper

Journal 2022 · Sensors Journal

Multiple fingerprinting localization by an artificial neural network

Jaehyun Yoo

view paper

Journal 2021 · Journal of Positioning, Navigation, and Timing

A study of multi-target localization based on deep neural network for wi-fi indoor positioning

Jaehyun Yoo

view paper

Journal 2021 · arXiv preprint arXiv:2112.14433

Fully distributed informative planning for environmental learning with multi-robot systems

Dohyun Jang(Holiday Robotics), Jaehyun Yoo, Clark Youngdong Son, H Jin Kim

view paper

Journal 2020 · IEEE Control Systems Letters

Hybrid reinforcement learning control for a micro quadrotor flight

Jaehyun Yoo, Dohyun Jang(Holiday Robotics), H Jin Kim, Karl H Johansson

view paper

Journal 2020 · IEEE Robotics and Automation Letters

Multi-robot active sensing and environmental model learning with distributed Gaussian process

Dohyun Jang(Holiday Robotics), Jaehyun Yoo, Clark Youngdong Son, Dabin Kim, H Jin Kim

view paper

Journal 2020 · Pervasive and Mobile Computing

Fingerprint variation detection by unlabeled data for indoor localization

Jaehyun Yoo, Sangjoon Park

view paper

Journal 2020 · (Domestic) 제어로봇시스템학회 논문지

준 지도식 GAN 을 이용한 와이파이 전자지문 기반 실내 위치 인식

Jaehyun Yoo

view paper

Journal 2019 · IFAC-PapersOnLine

Efficient networked UAV control using event-triggered predictive control

Dohyun Jang(Holiday Robotics), Clark Youngdong Son, Jaehyun Yoo, H Jin Kim, Karl H Johansson

view paper

Conference 2019 · International Conference on Robotics and Automation (ICRA)

Networked operation of a uav using gaussian process-based delay compensation and model predictive control

Dohyun Jang(Holiday Robotics), Jaehyun Yoo, Clark Youngdong Son, H Jin Kim, Karl H Johansson

view paper

Journal 2019 · IEEE Transactions on Systems, Man, and Cybernetics: Systems

Event-triggered model predictive control with a statistical learning

Jaehyun Yoo, Karl H Johansson

view paper

Journal 2019 · Sensors Journal

Time-series Laplacian semi-supervised learning for indoor localization

Jaehyun Yoo

view paper

Journal 2019 · Applied Sciences Journal

Indoor localization based on Wi-Fi received signal strength indicators: Feature extraction, mobile fingerprinting, and trajectory learning

Jaehyun Yoo, Jongho Park

view paper

Conference 2019 · 19th International Conference on Control, Automation and Systems (ICCAS)

Feature representation of Wi-Fi signal strength for indoor location awareness

Jaehyun Yoo

view paper

Journal 2019 · IEEE Sensors Journal

Change detection of RSSI fingerprint pattern for indoor positioning system

Jaehyun Yoo

view paper

Journal 2019 · Sensors Journal

Indoor mapping guidance algorithm of rotary-wing UAV including dead-end situations

Jongho Park, Jaehyun Yoo

view paper

Conference 2019 · Institute of Control, Robotics and Systems

가우시안 프로세스 모델 기반 강화 학습

Jaehyun Yoo

view paper

Conference 2019 · Institute of Control, Robotics and Systems

하이브리드 강화학습을 이용한 무인기 자율주행

Jaehyun Yoo

view paper

Conference Best Paper 2019 · Institute of Control, Robotics and Systems

빠른 학습 수렴을 위한 LQR 제어기와 강화학습 융합

Jaehyun Yoo

view paper

Conference 2018 · IEEE International Conference on Robotics and Automation (ICRA)

Design, Modeling and Control of T3-Multirotor: A Tilting Thruster Type Multirotor

Seung Jae Lee, Jaehyun Yoo, H Jin Kim

view paper

Conference 2018 · European Control Conference (ECC)

Event-based observer and MPC with disturbance attenuation using ERM learning

Jaehyun Yoo, Ehsan Nekouei, Karl H Johansson

view paper

Conference 2018 · 18th International Conference on Control, Automation and Systems (ICCAS)

Tracking control of a multirotor uav in a network environment with time-varying delay

Dohyun Jang(Holiday Robotics), Jaehyun Yoo, H Jin Kim

view paper

Conference 2018 · Institute of Control, Robotics and Systems

가우시안 프로세스 기반의 원거리 통신지연 보상기법을 이용한 무인기 경로계획

Jaehyun Yoo

view paper

Journal 2017 · IFAC-PapersOnLine

Learning communication delay patterns for remotely controlled UAV networks

Jaehyun Yoo, Karl H Johansson

view paper

Journal 2017 · IEEE Transactions on Instrumentation and Measurement

Indoor localization without a prior map by trajectory learning from crowdsourced measurements

Jaehyun Yoo, Karl Henrik Johansson, Hyoun Jin Kim

view paper

Conference 2017 · IEEE Conference on Control Technology and Applications (CCTA)

Trajectory generation for networked UAVs using online learning for delay compensation

Jaehyun Yoo, Seungjae Lee, H Jin Kim, Karl H Johansson

view paper

Conference 2017 · International Conference on Indoor Positioning and Indoor Navigation (IPIN)

Semi-supervised learning for mobile robot localization using wireless signal strengths

Jaehyun Yoo, Karl H Johansson

view paper

Conference 2017 · 17th international conference on control, automation and systems (ICCAS)

Path planning for remotely controlled UAVs using Gaussian process filter

Jaehyun Yoo, H Jin Kim, Karl H Johansson

view paper

Conference 2017 · IEEE 56th Annual Conference on Decision and Control (CDC)

Event-triggered model predictive control with machine learning for compensation of model uncertainties

Jaehyun Yoo, Adam Molin, Matin Jafarian, Hasan Esen, Dimos V Dimarogonas, Karl H Johansson

view paper

Conference 2016 · International Conference on Electronics, Information, and Communications (ICEIC)

Utilization of unlabeled data for smartphone-robot localization

Jaehyun Yoo, H Jin Kim

view paper

Conference Best Paper Silvar Award 2016 · International Conference on Indoor Positioning and Indoor Navigation (IPIN)

Mapless indoor localization by trajectory learning from a crowd

Jaehyun Yoo, H Jin Kim, Karl H Johansson

view paper Presentation Video

journal 2015 · USB On-Site Proceedings of the Sixth International Conference on Indoor Positioning and Indoor Navigation (IPIN)

Machine learning for indoor localization: Deep learning and semi-supervised learning

Seungwon Choi, Jaehyun Yoo, Hyoun Jin Kim

Journal 2015 · Journal of Institute of Control, Robotics and Systems

스마트폰 로봇의 위치 인식을 위한 준 지도식 학습 기법

Jae Hyun Yoo, H Jin Kim

view paper

Journal 2015 · IET Control Theory & Applications

Distributed estimation using online semi‐supervised particle filter for mobile sensor networks

Jaehyun Yoo, Woojin Kim, Hyoun Jin Kim

view paper

Journal 2015 · Sensors Journal

Target localization in wireless sensor networks using online semi-supervised support vector regression

Jaehyun Yoo, H Jin Kim

view paper

Conference 2015 · 15th International Conference on Control, Automation and Systems (ICCAS)

A mobile robot tracking using Kalman filter-based gaussian process in wireless sensor networks

Jinhong Lim, Jae Hyun Yoo, H Jin Kim

view paper

Conference 2015 · Institute of Control, Robotics and Systems

스마트폰 로봇의 위치 인식을 위한 준 지도식 학습 기법

Jaehyun Yoo

view paper

Conference Outstanding Best Paper 2015 · The 30th Korean conference on Institute of Control, Robitics and Systems

준 지도식 기계 학습을 이용한 실내 측위 루프 결합

Jaehyun Yoo, H Jin Kim

view paper

Journal 2014 · International Journal of Distributed Sensor Networks

Semi-supervised location awareness in wireless sensor networks using laplacian support vector regression

Jae Hyun Yoo, H Jin Kim

view paper

Conference 2014 · The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent

Optimal sensor placement for RSS-based localization using gaussian process

Jae Hyun Yoo, H Jin Kim

view paper

Conference 2014 · IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Online estimation using semi-supervised least square svr

Jae Hyun Yoo, H Jin Kim

view paper

Journal 2014 · Sensors Journal

Target tracking and classification from labeled and unlabeled data in wireless sensor networks

Jae Hyun Yoo, H Jin Kim

view paper

Conference 2013 · IEEE International Conference on Systems, Man, and Cybernetics

Predictive target detection and sleep scheduling for wireless sensor networks

Jae Hyun Yoo, H Jin Kim

view paper

Journal 2012 · IEEE transactions on cybernetics

Multi-target tracking using distributed SVM training over wireless sensor networks

Woojin Kim, Jaehyun Yoo, H Jin Kim

view paper

Conference 2012 · IEEE International Conference on Robotics and Automation

Target localization using ensemble support vector regression in wireless sensor networks

Woojin Kim, Jaemann Park, Jaehyun Yoo, H Jin Kim, Chan Gook Park

view paper

Conference 2011 · IEEE/RSJ International Conference on Intelligent Robots and Systems

Event-driven Gaussian process for object localization in wireless sensor networks

Jaehyun Yoo, Woojin Kim, H Jin Kim

view paper

Cooperative Labs

KTH Royal Institute of Technology, Stockholm, Sweden

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NARR lab

Seoul National University

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