Multimodal Deep Learning for Activity and Context Recognition

V. Radu; C. Tong; S. Bhattacharya; Nicholas D. Lane; C. Mascolo; M.K.  Marina; Fahim Kawsar

Multimodal Deep Learning for Activity and Context Recognition

V. Radu, C. Tong, S. Bhattacharya, Nicholas D. Lane, C. Mascolo, M.K. Marina, Fahim Kawsar

Internet of Things

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Place of Publication	New York, NY, USA
Publisher	ACM
Number of pages	27
Volume	1
Publication status	Published - 2018
Event	2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018

Conference

Conference	2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
Country/Territory	Singapore
City	Singapore
Period	8/10/18 → 12/10/18

Keywords

Mobile sensing
sensor fusion
multi-modal
deep neural networks
deep learning
context detection
activity recognition

Cite this

@inproceedings{4f2be470afa74daca1fb9c2a3b345be2,

title = "Multimodal Deep Learning for Activity and Context Recognition",

keywords = "Mobile sensing, sensor fusion, multi-modal, deep neural networks, deep learning, context detection, activity recognition",

author = "V. Radu and C. Tong and S. Bhattacharya and Lane, {Nicholas D.} and C. Mascolo and M.K. Marina and Fahim Kawsar",

year = "2018",

language = "English",

volume = "1",

booktitle = "Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)",

publisher = "ACM",

address = "United States",

note = "2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",

}

Radu, V, Tong, C, Bhattacharya, S, Lane, ND, Mascolo, C, Marina, MK & Kawsar, F 2018, Multimodal Deep Learning for Activity and Context Recognition. in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). vol. 1, 157, ACM, New York, NY, USA, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, 8/10/18.

Multimodal Deep Learning for Activity and Context Recognition. / Radu, V.; Tong, C.; Bhattacharya, S. et al.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Vol. 1 New York, NY, USA: ACM, 2018. 157.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Multimodal Deep Learning for Activity and Context Recognition

AU - Radu, V.

AU - Tong, C.

AU - Bhattacharya, S.

AU - Lane, Nicholas D.

AU - Mascolo, C.

AU - Marina, M.K.

AU - Kawsar, Fahim

PY - 2018

Y1 - 2018

KW - Mobile sensing

KW - sensor fusion

KW - multi-modal

KW - deep neural networks

KW - deep learning

KW - context detection

KW - activity recognition

M3 - Conference contribution

VL - 1

BT - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

PB - ACM

CY - New York, NY, USA

T2 - 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018

Y2 - 8 October 2018 through 12 October 2018

ER -