Evaluating a Mobile Spontaneous Eye Blink Tracker for use in Tele-presence HRI as a Low Bandwidth Social Communicative Cue

Christopher Bevan, Danae Stanton Fraser

Research output: Contribution to conferencePaper

1 Citation (Scopus)
132 Downloads (Pure)

Abstract

Research suggests that the rate at which humans spontaneously blink their eyes over time is strongly related to their underlying cognitive state. The ability to present the real time blinking behaviour of a human teleoperator via a robot proxy therefore potentially offers observers a low bandwidth - yet salient - cue as to the cognitive state of the teleoperator.

In a controlled study, we demonstrate and evaluate a wireless eye blink detector embedded in a Google Glass wearable computer, transmitting captured blink events in real time for display on a NAO robot. From our evaluation, we present accuracy rates from 28 participants under a range of environmental conditions, describing issues and phenomena encountered.

From a total of 3722 blink events, our prototype blink capture system achieved an overall accuracy of 80.5% across three activity conditions of rest, reading and interview. Additionally, we observed that people blink approximately 33% more frequently when they are listening compared to when they are speaking.
Results are discussed in terms of the requirements of a spontaneous blink detector suitable for capturing real time blinking behaviours within real world conditions.
Original languageEnglish
Publication statusPublished - Aug 2016
EventIEEE International Symposium on Robot and Human Interactive Communication - Columbia University, New York, USA United States
Duration: 26 Aug 201631 Aug 2016
http://ro-man2016.org/

Conference

ConferenceIEEE International Symposium on Robot and Human Interactive Communication
Abbreviated titleIEEE RO-MAN 2016
CountryUSA United States
CityNew York
Period26/08/1631/08/16
Internet address

Fingerprint Dive into the research topics of 'Evaluating a Mobile Spontaneous Eye Blink Tracker for use in Tele-presence HRI as a Low Bandwidth Social Communicative Cue'. Together they form a unique fingerprint.

  • Projects

  • Cite this

    Bevan, C., & Stanton Fraser, D. (2016). Evaluating a Mobile Spontaneous Eye Blink Tracker for use in Tele-presence HRI as a Low Bandwidth Social Communicative Cue. Paper presented at IEEE International Symposium on Robot and Human Interactive Communication, New York, USA United States.