Can deep learning revolutionize mobile sensing?

HotMobile 2015 - 16th International Workshop on Mobile Computing Systems and Applications

Volumn , Issue , 2015, Pages 117-122

  Lane, Nicholas D ^a   Georgiev, Petko ^b  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Activity Recognition; Deep Learning; Deep Neural Network; Mobile Sensing

Indexed keywords

DEEP NEURAL NETWORKS; ENGINES; LEARNING SYSTEMS; LOW POWER ELECTRONICS; MOBILE COMPUTING; NEURAL NETWORKS; OBJECT RECOGNITION; SPEECH RECOGNITION; SYSTEM-ON-CHIP; WEARABLE SENSORS;

ACTIVITY RECOGNITION; DIGITAL ASSISTANTS; HEALTH MONITORING; LEARNING TECHNIQUES; MOBILE HARDWARE; MOBILE SENSING; MOBILE SENSORS; REMOTE RESOURCES;

DEEP LEARNING;

EID: 84942430054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2699343.2699349     Document Type: Conference Paper

References (28)

1. Qualcomm Snapdragon 800 MDP. .
2. L. Deng, et al. Recent Advances in Deep Learning for Speech Research at Microsoft. In ICASSP '13.
3. S. Ji, et al. 3D Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intel, 35(1):221-231, Jan 2013.
4. C. M. Bishop. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2006.
5. G. Chen, et al. Small-footprint Keyword Spotting using Deep Neural Networks. In ICASSP '14.
6. S. Consolvo, et al. Activity Sensing in the Wild: A Field Trial of UbiFit Garden. In CHI '08.
7. Y. Taigman, et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification. In CVPR '14.
8. P. Georgiev, et al. DSP. Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones. In SenSys 'Uh
9. S. E. Kahou. Combining Modality Specific Deep Neural Networks for Emotion Recognition in Video. In ICMI '13.
10. B. Bruno, et al. Analysis of human behavior recognition algorithms based on acceleration data. In ICR A '13.
11. E. Cuervo, et al. MAUI: Making Smartphones Last Longer with Code Offload. In MobiSys '10.
12. M. Zeng, et al. Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors. In MobiCASE '14.
13. L. Deng and D. Yu. Deep Learning: Methods and Applications. Now Publishers Inc. Jan. 2014.
14. F. Eyben, M. Wollmer, and B. Schuller. OpenEar - Introducing the Munich Open-source Emotion and Affect Recognition Toolkit. In In AGII.
15. K. Han, D. Yu, and I. Tashev. Speech Emotion Recognition using Deep Neural Network and Extreme Learning Machine. In Interspeech '14.
16. G. E. Hinton, S. Osindero, and Y.-W. Teh. A Fast Learning Algorithm for Deep Delief Nets. Neural Comput., 18(7): 1527-1554, July 2006.
17. N. Lane, et al. Enabling large-scale human activity inference on smartphones using community similarity networks (CSN). In UbiComp '11.
18. Q. V. Le, et al. Building high-level features using large scale unsupervised learning. In ICML '12.
19. M. Liberman, et al. Emotional prosody speech and transcripts. 2002.
20. H. Lu, et al. Speakersense: Energy efficient unobtrusive speaker identification on mobile phones. In Pervasive '11.
21. H. Lu, et al. The jigsaw continuous sensing engine for mobile phone applications. In SenSys '10.
22. W. S. McCulloch and W. Pitts. A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biology, 5(4):115-133, Dec 1943.
23. E. Miluzzo, et al. Darwin phones: The evolution of sensing and inference on mobile phones. In MobiSys '10.
24. T. Plotz, et al. Feature learning for activity recognition in ubiquitous computing. In IJCAI '11.
25. K. K. Rachuri, et al. Emotionsense: A mobile phones based adaptive platform for experimental social psychology research. In UbiComp '10.
26. S. Reddy, et al. Using mobile phones to determine transportation modes. ACM Trans. Sen. Netw., 6(2):13:1-13:27, Mar. 2010.
27. Y. Wang, et al. Tracking human queues using single-point signal monitoring. In MobiSys '14.
28. M. D. Zeiler, et al. On rectified linear units for speech processing. In ICASSP '13.