A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System
Joint Authors
Cheng, Jun
Feng, Wei
Song, Chengqun
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Crowdsensing leverages human intelligence/experience from the general public and social interactions to create participatory sensor networks, where context-aware and semantically complex information is gathered, processed, and shared to collaboratively solve specific problems.
This paper proposes a real-time projector-camera finger system based on the crowdsensing, in which user can interact with a computer by bare hand touching on arbitrary surfaces.
The interaction process of the system can be completely carried out automatically, and it can be used as an intelligent device in intelligent transport system where the driver can watch and interact with the display information while driving, without causing visual distractions.
A single camera is used in the system to recover 3D information of fingertip for hand touch detection.
A linear-scanning method is used in the system to determine the touch for increasing the users’ collaboration and operationality.
Experiments are performed to show the feasibility of the proposed system.
The system is robust to different lighting conditions.
The average percentage of correct hand touch detection of the system is 92.0% and the average time of processing one video frame is 30 milliseconds.
American Psychological Association (APA)
Song, Chengqun& Cheng, Jun& Feng, Wei. 2017. A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1206157
Modern Language Association (MLA)
Song, Chengqun…[et al.]. A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1206157
American Medical Association (AMA)
Song, Chengqun& Cheng, Jun& Feng, Wei. A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1206157
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206157