Journal article
Alpha-numeric hand gesture recognition based on fusion of spatial feature modelling and temporal feature modelling
Electronics letters, v 52(20), pp 1679-1681
29 Sep 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Alpha-numeric gesture refers to writing in air of alphabet and numeric characters. With prevalent usage of vision enabled smart devices, these gestures are considered as an alternative user interface. As each individual has a unique handwriting style, it has been observed that alpha-numeric gesturing also exhibits different individualistic styles, posing a challenge to the vision based gesture recognition. In this Letter, a simple but effective method of modelling alpha-numeric hand gestures by fusing temporal-feature-state modelling and total-trajectory-shape modelling is proposed. The proposed method employs a convolution neural network that represents total-trajectory-shapes, and combines it with conventional conditional random fields based temporal-feature-state modelling. The proposed algorithm is evaluated in public database of both alphabet and numeric hand gestures. Experimental results show a performance improvement of the proposed algorithm compared with the state-of-the art methods.
Metrics
Details
- Title
- Alpha-numeric hand gesture recognition based on fusion of spatial feature modelling and temporal feature modelling
- Creators
- C Yang - Korea UniversityB Ku - Korea UniversityD.K Han - Office of Naval ResearchH Ko - Korea University
- Publication Details
- Electronics letters, v 52(20), pp 1679-1681
- Publisher
- The Institution of Engineering and Technology
- Number of pages
- 3
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000384442200018
- Scopus ID
- 2-s2.0-84988799890
- Other Identifier
- 991021931082704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic