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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Bilal, Sara | - |
dc.contributor.author | Akmeliawati, Rini | - |
dc.contributor.author | Shafie, Amir A. | - |
dc.contributor.author | Salami, Momoh-Jimoh E. | - |
dc.date.accessioned | 2019-10-24T10:38:02Z | - |
dc.date.available | 2019-10-24T10:38:02Z | - |
dc.date.issued | 2013-12-01 | - |
dc.identifier.citation | Bilal, S., Akmeliawati, R., Shafie, A. A., & Salami, M. J. E. (2013). Hidden Markov model for human to computer interaction: a study on human hand gesture recognition. Artificial Intelligence Review, 40(4), 495-516. | en_US |
dc.identifier.uri | 10.1007/s10462-011-9292-0 | - |
dc.identifier.uri | http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/595 | - |
dc.description.abstract | Human hand recognition plays an important role in a wide range of applications ranging from sign language translators, gesture recognition, augmented reality, surveillance and medical image processing to various Human Computer Interaction (HCI) domains. Human hand is a complex articulated object consisting of many connected parts and joints. Therefore, for applications that involve HCI one can find many challenges to establish a system with high detection and recognition accuracy for hand posture and/or gesture. Hand posture is defined as a static hand configuration without any movement involved. Meanwhile, hand gesture is a sequence of hand postures connected by continuous motions. During the past decades, many approaches have been presented for hand posture and/or gesture recognition. In this paper, we provide a survey on approaches which are based on Hidden Markov Models (HMM) for hand posture and gesture recognition for HCI applications. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Netherlands | en_US |
dc.subject | HCI applications | en_US |
dc.subject | HMM | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Hand posture recognition | en_US |
dc.subject | Hand gesture recognition | en_US |
dc.title | Hidden Markov model for human to computer interaction: a study on human hand gesture recognition | en_US |
dc.title.alternative | 2013/12/1 | en_US |
dc.type | Article | en_US |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
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Hidden Markov model for human to computer interaction_a study on human hand gesture recognition.pdf | Abstract | 57.9 kB | Adobe PDF | View/Open |
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