DocumentCode
2540550
Title
Supporting Collaborative Interaction with Real Time Force Feedback in Distributed Haptic Virtual Environments over IP Networks
Author
Yap, Kian Meng
Author_Institution
Sch. of Comput. Technol., Sunway Univ. Coll., Petaling Jaya, Malaysia
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
497
Lastpage
500
Abstract
This paper presents an investigation into a new peer-to-peer network architecture for real time tele-haptic operation in distributed virtual environments (DVEs). A novel force collaboration and position synchronization algorithm is developed in order to support networked haptic interactions. Network impairments such as time delay, jitter and packet loss each have different (and severe) impacts on remote haptic collaborations. The new peer-to-peer architecture is able to support haptic interactions over IP networks. Experiments have been conducted to show the performance of this architecture in comparison with the currently available two algorithms that compensate for delay (TiDeC™), and position (dead reckoning) are examined. Experiments have been conducted to investigate the threshold levels of QoS required for networked haptic collaboration. Findings of the study are presented in this paper with recommendations for a set of network QoS parameter values that support haptic collaboration over IP networks.
Keywords
IP networks; computer architecture; force feedback; groupware; haptic interfaces; peer-to-peer computing; quality of service; synchronisation; virtual reality; IP networks; collaborative interaction; distributed haptic virtual environments; force collaboration algorithm; jitter; network QoS parameter values; networked haptic interactions; packet loss; peer-to-peer network architecture; position synchronization algorithm; real time force feedback; real time tele-haptic operation; time delay; Collaboration; Delay; Force; Haptic interfaces; Jitter; Synchronization; Virtual environment; QoS; distributed virtual environment; haptic collabroation; multi-sensory traffic; peer-to-peer;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Electronic_ISBN
978-0-7695-4281-2
Type
conf
DOI
10.1109/ICGEC.2010.130
Filename
5715478
Link To Document