A network-adaptive transport scheme for haptic-based collaborative virtual environments

Lee, Seok-Hee; Moon, SungTae; Kim, Jong-Won

doi:10.1145/1230040.1230078

Cited by 13 publications

(12 citation statements)

References 14 publications

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“…By managing data transmitted over a network, traffic management and control alleviate the network delay and delay jitter, and decrease the frequency of packet loss [14], [16], [36], [81]- [83].…”

Section: Traffic Management and Controlmentioning

confidence: 99%

“…3.1.2 (2) [36], dynamically changes a threshold value of dead reckoning [84] according to the network delay. The dead reckoning consists of prediction and convergence [14], [85], [86]. In the prediction, the current position of an object (or the cursor of a haptic interface device) is predicted by using the positional information of the object (or the cursor) included in transmitted (or received) MUs.…”

Section: Traffic Management and Controlmentioning

confidence: 99%

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QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

Huang

Ishibashi

2013

IEICE Trans. Commun.

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SUMMARYMulti-sensory communications with haptics attract a number of researchers in recent years. To provide services of the communications with high realistic sensations, the researchers focus on the quality of service (QoS) control, which keeps as high quality as possible, and the quality of experience (QoE) assessment, which is carried out to investigate the influence on user perception and to verify the effectiveness of QoS control. In this paper, we report the present status of studies on multisensory communications with haptics. Then, we divide applications of the communications into applications in virtual environments and those in real environments, and we mainly describe collaborative work and competitive work in each of the virtual and real environments. We also explain QoS control which is applied to the applications and QoE assessment carried out in them. Furthermore, we discuss the future directions of studies on multi-sensory communications.

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Section: Traffic Management and Controlmentioning

confidence: 99%

Section: Traffic Management and Controlmentioning

confidence: 99%

QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

Huang

Ishibashi

2013

IEICE Trans. Commun.

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“…Another network adaptive transport scheme for DHVEs is presented by Lee et al in [8]. Each haptic media unit (MU) is categorized into three different priorities, whereby the lowest priority MU can be skipped and the highest priority one has to be transmitted reliably, by sending redundant packets.…”

Section: Related Workmentioning

confidence: 99%

“…The system shows improved performance and reduced transmission rate over networks with transmission delay and jitter. The prioritization of packets in [8] is based only on position, whereas our introduced scheme takes resulting forces into account. As the user will feel force changes rather than position changes, we claim that our approach is more general, as position changes as well as physical properties of the virtual environment are subsumed into the force computation and rendering process.…”

Section: Related Workmentioning

confidence: 99%

“…This difference is influenced by the time between two update packets and the object's velocity. In [8], this position change at the client side is the basis for deciding if a packet should be sent or not. However, besides position/rotation change, other factors such as stiffness of the object, penetration depth into the object, friction, etc.…”

Section: Traffic Control For Server-to-client Updatesmentioning

confidence: 99%

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Perceptually Robust Traffic Control in Distributed Haptic Virtual Environments

Schuwerk

Chaudhari

Steinbach

2012

Haptics: Perception, Devices, Mobility, and Communication

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Abstract. In this paper we present a traffic control scheme for server to client communication in distributed haptic virtual environments (VE). We adopt a client-server architecture where the server manages the state consistency of the distributed VE, while haptic feedback is computed locally at each client. The update rate of network traffic from the server to the client is dynamically adapted by exploiting characteristics and limitations of human haptic perception. With this, an excellent tradeoff between network communication efficiency and perceptually robust rendering of haptic feedback is achieved. Subjective tests with two users collaboratively manipulating a common object show a packet rate reduction of up to 99% from the server to the clients without deteriorating haptic feedback quality.

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Introduction

Lee¹,

Payandeh²

2015

Haptic Teleoperation Systems

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A network-adaptive transport scheme for haptic-based collaborative virtual environments

Cited by 13 publications

References 14 publications

QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

Perceptually Robust Traffic Control in Distributed Haptic Virtual Environments

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