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Jump to: Proceedings paper
Number of items: 15.
Proceedings paper
Bhattacharya, S;
Lane, ND;
(2016)
From smart to deep: Robust activity recognition on smartwatches using deep learning.
In:
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).
IEEE: Sydney, Australia.
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Chu, D;
Zhang, Z;
Wolman, A;
Lane, N;
(2015)
Prime: A framework for co-located multi-device apps.
In: Mase, K and Langheinrich, M and Gatica-Perez, D and Gellersen, H and Choudhury, T and Yatani, K, (eds.)
UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
(pp. pp. 203-214).
Association for Computing Machinery (ACM): New York, NY, USA.
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Fang, B;
Lane, ND;
Zhang, M;
Boran, A;
Kawsar, F;
(2016)
BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring.
In: Agarwal, S and Mascolo, C, (eds.)
MobiSys '16 : Proceedings of the 14th Annual International Conference on Mobile Systems, Applications and Services.
(pp. pp. 97-110).
Association for Computing Machinery (ACM): New York, NY, USA.
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Fang, B;
Lane, ND;
Zhang, M;
Kawsar, F;
(2016)
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities.
In:
Proceedings of the 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
(pp. pp. 1-12).
IEEE: Vienna, Austria.
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Georgiev, P;
Lane, ND;
Rachuri, KK;
Mascolo, C;
(2016)
LEO: Scheduling sensor inference algorithms across heterogeneous mobile processors and network resources.
In:
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking Pages 320-333.
(pp. pp. 320-333).
ACM: New York City, New York.
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Lane, N;
Bhattacharya, S;
(2016)
Sparsifying Deep Learning Layers for Constrained Resource Inference on Wearables.
In:
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems.
(pp. pp. 176-189).
ACM: Stanford, CA, USA.
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Lane, ND;
Bhattacharya, S;
Georgiev, P;
Forlivesi, C;
Jiao, L;
Qendro, L;
Kawsar, F;
(2016)
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.
In:
Proceedings of the 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
IEEE: Vienna, Austria.
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Lane, ND;
Bhattacharya, S;
Georgiev, P;
Forlivesi, C;
Kawsar, F;
(2015)
An early resource characterization of deep learning on wearables, smartphones and internet-of-things devices.
In: Xu, C and Zhang, P and Sigg, S, (eds.)
IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards Applications.
(pp. pp. 7-12).
Association for Computing Machinery: Seoul, South Korea.
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Lane, ND;
Georgiev, P;
(2015)
Can deep learning revolutionize mobile sensing?
In: Manweiler, J and Choudhury, RR and Rozner, E and Lane, N, (eds.)
Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications.
(pp. pp. 117-122).
Association for Computing Machinery: Santa Fe, New Mexico, USA.
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Lane, ND;
Georgiev, P;
Mascolo, C;
Gao, Y;
(2015)
ZOE: A cloud-less dialog-enabled continuous sensing wearable exploiting heterogeneous computation.
In: Borriello, G and Pau, G and Gruteser, M and Hong, J, (eds.)
MobiSys '15: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services.
(pp. pp. 273-286).
Association for Computing Machinery (ACM): New York, NY, USA.
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Lane, ND;
Georgiev, P;
Qendro, L;
(2015)
DeepEar: Robust Smartphone Audio Sensing in Unconstrained Acoustic Environments using Deep Learning.
In: Miyahara, H and Tokuda, H and Mase, K and Langheinrich, M, (eds.)
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
(pp. pp. 283-294).
Association for Computing Machinery: Osaka, Japan.
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Liang, CJM;
Karlsson, BF;
Lane, ND;
Zhao, F;
Zhang, J;
Pan, Z;
Li, Z;
(2015)
SIFT: Building an Internet of safe Things.
In: Nath, S and Krishnamachari, B and Rowe, A, (eds.)
IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks.
(pp. pp. 298-309).
Association for Computing Machinery (ACM): New York, NY, USA.
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Mathur, A;
Lane, ND;
Kawsar, F;
(2016)
Engagement-aware computing: Modelling user engagement from mobile contexts.
In:
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
(pp. pp. 622-633).
ACM: Heidelberg, Germany.
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Xu, L;
Hao, X;
Lane, ND;
Liu, X;
Moscibroda, T;
(2015)
More with less: Lowering user burden in mobile crowdsourcing through compressive sensing.
In: Miyahara, H and Tokuda, H and Mase, K and Langheinrich, M, (eds.)
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
(pp. pp. 659-670).
Association for Computing Machinery: Osaka, Japan.
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Xu, L;
Hao, X;
Lane, ND;
Liu, X;
Moscibroda, T;
(2015)
Cost-aware compressive sensing for networked sensing systems.
In: Nath, S and Krishnamachari, B and Rowe, A and Zhao, F, (eds.)
Proceedings of the 14th International Conference on Information Processing in Sensor Networks.
(pp. pp. 130-141).
Association for Computing Machinery: Seattle, Washington.
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