# Boon Giin Lee

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/boon-giin-lee/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,217 |
| Field | Non-Invasive Vital Sign Monitoring |
| h-index | 25 |
| i10-index | 39 |
| Last Known Institution | University of Nottingham Ningbo China |
| OpenAlex ID | https://openalex.org/A5053615344 |
| ORCID iD | 0000-0001-5743-1010 |
| Works | 118 |

## Researcher papers

- [Smart Wearable Hand Device for Sign Language Interpretation System With Sensors Fusion](https://scholariq.org/papers/smart-wearable-hand-device-for-sign-language-interpretation-system-with-sensors/)
- [Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals](https://scholariq.org/papers/driver-alertness-monitoring-using-fusion-of-facial-features-and-bio-signals/)
- [Mobile Healthcare for Automatic Driving Sleep-Onset Detection Using Wavelet-Based EEG and Respiration Signals](https://scholariq.org/papers/mobile-healthcare-for-automatic-driving-sleep-onset-detection-using-wavelet/)
- [American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach](https://scholariq.org/papers/american-sign-language-recognition-using-leap-motion-controller-with-machine/)
- [A Smartphone-Based Driver Safety Monitoring System Using Data Fusion](https://scholariq.org/papers/a-smartphone-based-driver-safety-monitoring-system-using-data-fusion/)
- [Wearable Glove-Type Driver Stress Detection Using a Motion Sensor](https://scholariq.org/papers/wearable-glove-type-driver-stress-detection-using-a-motion-sensor/)
- [Stress Events Detection of Driver by Wearable Glove System](https://scholariq.org/papers/stress-events-detection-of-driver-by-wearable-glove-system/)
- [Methods to Detect and Reduce Driver Stress: A Review](https://scholariq.org/papers/methods-to-detect-and-reduce-driver-stress-a-review/)
- [Standalone Wearable Driver Drowsiness Detection System in a Smartwatch](https://scholariq.org/papers/standalone-wearable-driver-drowsiness-detection-system-in-a-smartwatch/)
- [Enhanced Rssi-Based High Accuracy Real-Time User Location Tracking System For Indoor And Outdoor Environments](https://scholariq.org/papers/enhanced-rssi-based-high-accuracy-real-time-user-location-tracking-system-for/)
- [Exploring Operators’ Natural Behaviors to Predict Catheterization Trial Outcomes in Robot-Assisted Intravascular Interventions](https://scholariq.org/papers/exploring-operators-natural-behaviors-to-predict-catheterization-trial-outcomes/)

## Researcher topics

- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)
- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Indoor and Outdoor Localization Technologies](https://scholariq.org/topics/indoor-and-outdoor-localization-technologies/)
- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Researcher university

- [University of Nottingham Ningbo China](https://scholariq.org/institutions/university-of-nottingham-ningbo-china/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.