Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2786567.2793697acmconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
poster

Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones

Published: 24 August 2015 Publication History

Abstract

Wearable devices offer immense opportunities in both consumer and enterprise domains due to the hands-free interaction modality and the ability to provide information in real-time. However, due to hardware limitations, it presents a notable challenge to complex applications that have stringent demands on computational efficiency. Leveraging on the computing power of a connected mobile device, we propose a new multi-threaded asynchronous structure to implement opportunistic multi-tasking. We demonstrate an application of the structure for seamless face recognition for social interactions. The experimental studies show that the proposed structure can achieve better performance than a sequential synchronous one. The proposed method can be extended to similar applications in wearable devices.

References

[1]
Anam, A., Alam, S. and Yeasin, M. Expression: A dyadic conversation aid using google glass for people with visual impairments. in Proc. UbiComp'14, (2014), 211--214.
[2]
Flautner, K., Uhlig, R., Reinhardt, S. and Mudge, T. Thread-level parallelism and interactive performance of desktop applications, in Proc. ASPLOS-IX, (2000),129--138.
[3]
Ha, K., Chen, Z., Hu, W. Richter, W., Pillai, P. and Satyanarayanan, M. Towards wearable cognitive assistance, in Proc. MobiSys'14, (2014), 68--81.
[4]
Hwang, A.D. and Peli, E., Augmented edge enhancement for vision impairment using google glass, SID Symposium Digest of Technical Papers, 45, (2014), 305--307.
[5]
Mandal. B., Chia, S.C., Li, L., Chandrasekhar, V., Tan, C. and Lim, J.H., A wearable face recognition system on google glass for assisting social interactions, in Proc. ACCV'14, (2014).
[6]
Wang, X., Zhao, X., Prakash, V., Shi, W. and Gnawali, O., Computerized-eyewear based face recognition system for improving social lives of prosopagnosics, in Proc. PervasiveHealth'13, (2013),77--80.
[7]
Wasik, B. Why wearable tech will be as big as the smartphone, Wired, http://www.wired.com/2013/12/wearable-computers/ (last visited 19/06/2015)
[8]
Xu, Q. Mukawa, M., Li, L., Lim, J-H, Tan, T., Chia, S.C., Gan, T. and Mandal, B., Exploring users' attitudes towards social interaction assistance on google glass, in Proc. AH'15, (2015), 9--12.

Cited By

View all
  • (2017)Person Reidentification Using Multiple Egocentric ViewsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.261544527:3(484-498)Online publication date: 1-Mar-2017
  • (2017)iKnowU – Exploring the Potential of Multimodal AR Smart Glasses for the Decoding and Rehabilitation of Face Processing in Clinical PopulationsHuman-Computer Interaction – INTERACT 201710.1007/978-3-319-67687-6_28(423-432)Online publication date: 21-Sep-2017
  • (2016)SocioGlass: social interaction assistance with face recognition on google glassScientific Phone Apps and Mobile Devices10.1186/s41070-016-0011-82:1Online publication date: 19-Jul-2016

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
MobileHCI '15: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
August 2015
697 pages
ISBN:9781450336536
DOI:10.1145/2786567
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 August 2015

Check for updates

Author Tags

  1. Wearable devices
  2. asynchronous
  3. face recognition
  4. multi-threaded

Qualifiers

  • Poster
  • Research
  • Refereed limited

Conference

MobileHCI '15
Sponsor:

Acceptance Rates

Overall Acceptance Rate 202 of 906 submissions, 22%

Upcoming Conference

MobileHCI '24
26th International Conference on Mobile Human-Computer Interaction
September 30 - October 3, 2024
Melbourne , VIC , Australia

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)0
Reflects downloads up to 12 Sep 2024

Other Metrics

Citations

Cited By

View all
  • (2017)Person Reidentification Using Multiple Egocentric ViewsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.261544527:3(484-498)Online publication date: 1-Mar-2017
  • (2017)iKnowU – Exploring the Potential of Multimodal AR Smart Glasses for the Decoding and Rehabilitation of Face Processing in Clinical PopulationsHuman-Computer Interaction – INTERACT 201710.1007/978-3-319-67687-6_28(423-432)Online publication date: 21-Sep-2017
  • (2016)SocioGlass: social interaction assistance with face recognition on google glassScientific Phone Apps and Mobile Devices10.1186/s41070-016-0011-82:1Online publication date: 19-Jul-2016

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media