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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Anam, ASM Iftekhar Alam, Shahinur Yeasin, Mohammed |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electrical and Computer Engineering, University of Memphis, TN 38152, USA (Anam, ASM Iftekhar; Alam, Shahinur; Yeasin, Mohammed) |
| Abstract | This paper presents ‘Expression’ — an integrated assistive solution using Google Glass. The key function of the system is to enable the user in perceiving social signals during a natural dyadic conversation. The design and implementation of the system addressed a number of technical and research challenges — video acquisition and communication over Wi-Fi, efficient detection and tracking of faces, overheating of Google Glass, robust detection of facial features and modeling behavioral expressions, and feedback system for perceiving social signals. Performance evaluation was conducted to ensure the completeness and generalizability of models. Furthermore, usability studies were performed with ten (10) subjects (six visually impaired and four blind-folded) to illustrate the utility of the ‘Expression’. Subjective evaluation of Expression was performed using a five (5) point Likert Scale and was found to be excellent (4.383). |
| Starting Page | 57 |
| Ending Page | 64 |
| File Size | 1348652 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781631900242 |
| DOI | 10.4108/icst.mobicase.2014.257780 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | The Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering (ICST) |
| Subject Keyword | Computers Google Analytical models Glass Cameras Smart phones Context modeling |
| Content Type | Text |
| Resource Type | Article |
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