Poster #65 - Contactless measurements of psychophysiological activities in children and adults using smartphones

• In Event: 2-002 - Special Poster Session 05 with Continental Breakfast Reception
  In Poster Session: PS 05 - Interdisciplinary Section

Integrative Statement

Current methodologies for measuring psychophysiological activities require: 1) expensive research or medical devices, 2) attachment of electrodes to specific parts of the body, and 3) expertise of trained professionals for recording and analysis of psychophysiological conditions. These three requirements have made existing methods rather inaccessible, uncomfortable, and inconvenient, particularly for children. The purpose of the current study is to examine the validity of a novel method, called Transdermal Optical Imaging (TOI), for measuring psychophysiological states in children and adults. Specifically, the novel method only requires the use of a regular camera, including those in smartphones, to record videos of participants’ faces, which are then analyzed using machine learning algorithms for changes in facial blood flow, heart rate, RR interval, respiration, and Galvanic Skin Response (see Figure 1). The validity of Transdermal Optical Imaging (TOI) was evaluated by comparing the psychophysiological data obtained via an Electrocardiography (ECG) device, PC-80A (Heal Force), against those from our new method. 54 children between the ages of 3 to 15 and 359 adults between the ages of 17 to 58 participated in the study. We found that psychophysiological measures from Transdermal Optical Imaging corresponded strongly with those from the Electrocardiography for both children (e.g., Heart rate: r = 0.87; Figure 2) and adults (e.g., Heart rate: r = 0.98). These findings indicate Transdermal Optical Imaging to be a viable method for measuring psychophysiological conditions of children and adults in an easily accessible, comfortable, and convenient manner.

Authors

• Si Jia Wu, University of Toronto
  Presenting Author

• Sharon Yao, University of Toronto
  Non-Presenting Author

• Jingmei Wang, Zhejiang Normal University
  Non-Presenting Author

• Weijian Li, Zhejiang Normal University
  Non-Presenting Author

• Kang Lee, University of Toronto
  Non-Presenting Author