Demo: LIVES: Learning through interactive video and emotion-aware system

Min Chen, Yixue Hao, Yong Li, Di Wu, Dijiang Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

In order to improve the accuracy and efficiency of emotion recognition, we design a novel system called Learning through Interactive Video and Emotion-aware System (LIVES). LIVES includes data collection, emotion recognition, and result validation, as well as emotion feedback. We adopt transfer learning to label and validate moods in LIVES, while the emotion can be classified into six types of mood in a reasonable accuracy. Through transfer learning, the time-consuming and labor-intensive processing cost on data collection and labeling can also be greatly reduced. In our prototype system, LIVES is used to enhance an emotion-aware robot’s intelligence provided by cloud. LIVES-based emotion recognition is executed in the remote cloud while corresponding result is sent to the robot for emotion feedback. The experimental results demonstrate LIVES significantly improves the accuracy and effectiveness of emotion classification.

Original languageEnglish (US)
Title of host publicationMSCC 2015 - Proceedings of the 2nd Workshop for Mobile Sensing, Computing and Communication, co-located with MobiHoc 2015
PublisherAssociation for Computing Machinery
Pages399-400
Number of pages2
ISBN (Electronic)9781450334891, 9781450335140, 9781450335171, 9781450335188, 9781450335232, 9781450335249, 9781450335256
DOIs
StatePublished - Jun 22 2015
Event16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2015 - Hangzhou, China
Duration: Jun 22 2015Jun 25 2015

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
Volume2015-June

Other

Other16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2015
CountryChina
CityHangzhou
Period6/22/156/25/15

Keywords

  • Affective interaction
  • Sentiment anlysis
  • Transfer learning

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Software

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  • Cite this

    Chen, M., Hao, Y., Li, Y., Wu, D., & Huang, D. (2015). Demo: LIVES: Learning through interactive video and emotion-aware system. In MSCC 2015 - Proceedings of the 2nd Workshop for Mobile Sensing, Computing and Communication, co-located with MobiHoc 2015 (pp. 399-400). (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc); Vol. 2015-June). Association for Computing Machinery. https://doi.org/10.1145/2746285.2764928