Purdue SMART Lab Team

#

Go-Eum Cha

Education:
  Purdue University, 2021 - present (Technology)
Ph.D. student
 M.S. Purdue University, West Lafayette, IN, 2020 (Computer Information & Technology)
Thesis: "Cognitive Load Estimation with Behavioral Cues in Human-Machine Interaction"
B.S. Soongsil University, Seoul, South Korea, 2017 (Computer Science & Engineering | Global Media)

 
Current Research:

  • Human-Robot Interaction (HRI)
  • Computer Vision
  • Deep Learning

Publications:
  • Wonse Jo, Shyam Sundar Kannan, Go-Eum Cha, Ahreum Lee, and Byung-Cheol Min, "ROSbag-based Multimodal Affective Dataset for Emotional and Cognitive States," 2020 IEEE International Conference on Systems, Man and Cybernetics (SMC), Toronto, Canada, 11-14 October, 2020.
  • Go-Eum Cha, Do-Eun Kim, Kang-Hee Lee, "System Design of Symptom Detection of Mild Cognitive Impairment with Observational Robot," Journal of Theoretical and Applied Information Technology, Vol.97(18), pp 4824–4837, 2019.
  • Go Eum Cha, Seongha Park, Eric T. Matson, "State-of-the-Art of Domestic Emotional Robots" IEEE Sensors Applications Symposium (SAS), Nice, France, 2019.
  • Go-Eum Cha, Do-Eun Kim, Kang-Hee Lee, "State-of-the-Art of Domestic Emotional Robots" Korea Society Computer Information, Vol.25(1), pp 161–162, 2017.

Contact:
    cha20 at purdue dot edu