Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 27499776
- Type
- D - Journal article
- DOI
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10.1109/TPAMI.2016.2537340
- Title of journal
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Article number
- -
- First page
- 1583
- Volume
- 38
- Issue
- 8
- ISSN
- 0162-8828
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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D - Computer Vision and Natural Computing (CVNC)
- Citation count
- 172
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The multimodal gesture recognition and segmentation algorithms proposed in this work contributed to the modelling of natural human-robot interaction for the subsequent Swiss National Foundation Project funding (Div. I-III) “ROSALIS - Robot Skill Acquisition through Active Learning and Social Interaction Strategies (Project number: 172627, €740K).”
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -