Ruichen Tan
Psychology · Purdue University West Lafayette
Publications
24
Citations
397
Est. group size
—
Recurring co-author estimate
Active years
10
Publishing since 2016
Ruichen Tan's research focuses on understanding and detecting human emotional and physiological states—such as stress, motion sickness, and speech-based emotion—in the context of driving and intelligent vehicle cockpits. This work combines psychology with engineering methods like machine learning, wearable sensors, and multimodal datasets (facial expression, speech, physiological signals) to improve vehicle safety and passenger comfort in automated and connected vehicles. The research also touches on predicting human movement patterns and vehicle-related accident risks using data-driven models.
Publication output was minimal before 2021, spiked sharply in 2022 (largely due to dataset releases), and has continued at a moderate, fluctuating pace through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar Movements
arXiv (Cornell University) · 2025
- MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar Movements
arXiv (Cornell University) · 2025
- Review and Perspectives on Human Emotion for Connected Automated Vehicles
Automotive Innovation · 2024
- Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives
IEEE Transactions on Intelligent Vehicles · 2024
- Intelligent Cockpit for Intelligent Connected Vehicles: Definition, Taxonomy, Technology and Evaluation
IEEE Transactions on Intelligent Vehicles · 2023
- Global-Local-Feature-Fused Driver Speech Emotion Detection for Intelligent Cockpit in Automated Driving
IEEE Transactions on Intelligent Vehicles · 2023
- Brain-Inspired Driver Emotion Detection for Intelligent Cockpits Based on Real Driving Data
IEEE Intelligent Transportation Systems Magazine · 2023
- Xsickness in Intelligent Mobile Spaces and Metaverses
IEEE Intelligent Systems · 2022
- A multimodal psychological, physiological and behavioural dataset for human emotions in driving tasks
Scientific Data · 2022
- Motion Sickness Detection for Intelligent Vehicles: A Wearable-Device-Based Approach
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) · 2022
- Physiological_data
Figshare · 2022
- Road_scenario_data
Figshare · 2022
- Driving_behavioural_data
Figshare · 2022
- Psychological_data
Figshare · 2022
- Facial_expression_data
Figshare · 2022
- Figshare×8
- IEEE Transactions on Intelligent Vehicles×3
- arXiv (Cornell University)×3
- Automotive Innovation×1
- Data Science for Transportation×1
- Julius Keller
Psychology · Purdue University West Lafayette
- Yue Li
Social Sciences · Purdue University West Lafayette
- Huina Mao
Social Sciences · Indiana University
- Mingyi He
Social Sciences · Purdue University West Lafayette
- Bilin Aksun‐Güvenç
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile