FaceDate: A mobile cloud computing app for people matching invited paper

Document Type

Conference Proceeding

Publication Date

1-1-2017

Abstract

.is paper presents FaceDate, a novel mobile app that matches persons based on their facial looks. Each FaceDate user uploads their profile face photo and trains the app with photos of faces they like. Upon user request, FaceDate detects other users located in the proximity of the requester and performs face matching in real-time. If a mutual match is found, the two users are notied and given the option to start communicating. FaceDate is implemented over our Moitree middleware for mobile distributed computing assisted by the cloud.e app is designed to scale with the number of users, as face recognition is done in parallel at different users. FaceDate can be configured for (i) higher performance, in which case the face recognition is done in the cloud or (ii) higher privacy, in which case the face recognition is done on the mobiles.e experimental results with Android-based phones demonstrate that FaceDate achieves promising performance.

Identifier

85085540620 (Scopus)

Publication Title

Bodynets International Conference on Body Area Networks

External Full Text Location

https://doi.org/10.4108/eai.15-12-2016.2267654

e-ISSN

23103582

Grant

CNS 1054754

Fund Ref

National Science Foundation

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