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

doi:10.4108/eai.15-12-2016.2267654

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: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	BODYNETS 2016 - 11th International Conference on Body Area Networks
Publisher	EAI
ISBN (Electronic)	9781631901324
DOIs	https://doi.org/10.4108/eai.15-12-2016.2267654
State	Published - Apr 24 2017
Event	11th International Conference on Body Area Networks, BODYNETS 2016 - Turin, Italy Duration: Dec 15 2016 → Dec 16 2016

Other

Other	11th International Conference on Body Area Networks, BODYNETS 2016
Country/Territory	Italy
City	Turin
Period	12/15/16 → 12/16/16

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Access to Document

10.4108/eai.15-12-2016.2267654

Cite this

@inproceedings{fb8778b2823d4745b468d25e919b5cf3,

title = "FaceDate: A mobile cloud computing app for people matching invited paper",

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.",

author = "Pradyumna Neog and Hillol Debnath and Jianchen Shan and Paiker, {Nafize R.} and Narain Gehani and Reza Curtmola and Xiaoning Ding and Cristian Borcea",

year = "2017",

month = apr,

day = "24",

doi = "10.4108/eai.15-12-2016.2267654",

language = "English (US)",

booktitle = "BODYNETS 2016 - 11th International Conference on Body Area Networks",

publisher = "EAI",

note = "11th International Conference on Body Area Networks, BODYNETS 2016 ; Conference date: 15-12-2016 Through 16-12-2016",

}

Neog, P, Debnath, H, Shan, J, Paiker, NR, Gehani, N, Curtmola, R , Ding, X & Borcea, C 2017, FaceDate: A mobile cloud computing app for people matching invited paper. in BODYNETS 2016 - 11th International Conference on Body Area Networks. EAI, 11th International Conference on Body Area Networks, BODYNETS 2016, Turin, Italy, 12/15/16. https://doi.org/10.4108/eai.15-12-2016.2267654

TY - GEN

T1 - FaceDate

T2 - 11th International Conference on Body Area Networks, BODYNETS 2016

AU - Neog, Pradyumna

AU - Debnath, Hillol

AU - Shan, Jianchen

AU - Paiker, Nafize R.

AU - Gehani, Narain

AU - Curtmola, Reza

AU - Ding, Xiaoning

AU - Borcea, Cristian

PY - 2017/4/24

Y1 - 2017/4/24

N2 - .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.

AB - .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.

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DO - 10.4108/eai.15-12-2016.2267654

M3 - Conference contribution

BT - BODYNETS 2016 - 11th International Conference on Body Area Networks

PB - EAI

Y2 - 15 December 2016 through 16 December 2016

ER -

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

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