LabCompass

Ruichen Tan

Psychology · Purdue University West Lafayette

Mid career · publishing since 2016

Publications

24

Citations

397

Est. group size

Recurring co-author estimate

Active years

10

Publishing since 2016

Research summary
AI-generated

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.

Driver and passenger emotion recognitionIntelligent vehicle cockpit designMotion sickness and physiological monitoringMultimodal behavioral and physiological datasetsHuman mobility and location prediction

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

Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
2017: 1 publication171819202021: 2 publications212022: 11 publications11222023: 3 publications232024: 2 publications242025: 4 publications2526
Recent publications
Publishes in
  • Figshare×8
  • IEEE Transactions on Intelligent Vehicles×3
  • arXiv (Cornell University)×3
  • Automotive Innovation×1
  • Data Science for Transportation×1
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By research-topic overlap

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.

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