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

Pradyumna Neog, Hillol Debnath, Jianchen Shan, Nafize R. Paiker, Narain Gehani, Reza Curtmola, Xiaoning Ding, Cristian Borcea

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish (US)
JournalBodyNets International Conference on Body Area Networks
DOIs
StatePublished - 2017
Event11th International Conference on Body Area Networks, BODYNETS 2016 - Turin, Italy
Duration: Dec 15 2016Dec 16 2016

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • Face matching
  • Mobile cloud app

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