Multimodal Deep Learning for Activity and Context Recognition

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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Original languageEnglish
Title of host publicationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages27
Volume1
Publication statusPublished - 2018
Event2018 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 201812 Oct 2018

Conference

Conference2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period8/10/1812/10/18

Keywords

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

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