Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data

Author:

Kim Jinwoo1ORCID,Nirjhar Ehsanul Haque2,Kim Jaeyoon3ORCID,Chaspari Theodora4,Ham Youngjib5ORCID,Winslow Jane Futrell6,Lee Chanam7,Ahn Changbum R.8ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Multidisciplinary Engineering, Texas A&M Univ., 330 Francis Hall, 3137 TAMU, College Station, TX 77843. ORCID: .

2. Ph.D. Student, Dept. of Computer Science and Engineering, Texas A&M Univ., 435 Nagle St., PETR 330, College Station, TX 77843.

3. Ph.D. Student, Dept. of Construction Science, Texas A&M Univ., 329 Francis Hall, 3137 TAMU, College Station, TX 77843. ORCID: .

4. Assistant Professor, Dept. of Computer Science and Engineering, Texas A&M Univ., 435 Nagle St., PETR 329, College Station, TX 77843.

5. Associate Professor, Dept. of Construction Science, Texas A&M Univ., 329B Francis Hall, 3137 TAMU, College Station, TX 77843-3137. ORCID: .

6. Assistant Professor, Dept. of Landscape Architecture and Urban Planning, Texas A&M Univ., A332 Langford Architecture Bldg., 3137 TAMU, College Station, TX 77840.

7. Professor, Dept. of Landscape Architecture and Urban Planning, Texas A&M Univ., Scoates Hall 107C, 3137 TAMU, College Station, TX 77843.

8. Associate Professor, Dept. of Architecture and Architectural Engineering, Institute of Construction and Environmental Engineering, College of Engineering, Seoul National Univ., Seoul 08826, South Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

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