Model Based Data Compression For 3d Virtual Haptic Teleinteraction

This paper presents a model based prediction of haptic data signals for data compression purposes in virtual haptic teleinteraction environments. The proposed data reduction itself is based on psychophysical properties of human perception. This scheme can be used for Internet-based multimedia applications like hapticssupported games or virtual haptic explorations. Using our approach haptic data packet rate reduction of up to 95% without impairing immersiveness is achieved

A novel, psychophysically motivated transmission approach for haptic data streams in telepresence and teleaction systems

One of the key challenges in telepresence and teleaction systems is the fact that a global control loop is closed over a communication network. The transmission delay of haptic information is extremely critical. Therefore, new data samples from the haptic sensors are typically immediately forwarded to the receiver which leads to a large number of packets being generated when using the Internet as the communication infrastructure. We present a novel approach to reduce the amount of packets and therefore data communicated in a telepresence and teleaction system. Our method uses a passive deadband control which only delivers data packets over the network when the sampled sensor data changes more than a given threshold value. The threshold value is determined by psychophysical experiments. This approach leads to a considerable reduction (up to 90%) of packet rate and data rate without sacrificing fidelity and immersiveness of the system. 1

Network Traffic Reduction In Haptic Telepresence Systems by deadband Control

Current haptic (force feedback) telepresence systems operated over a communication network as, e.g. the Internet, require high packet rates for the transmission of the command and sensor signals. A novel approach to reduce the network tra#c by means of deadband control is proposed. Data packets are only sent if the sampled signal changes more than a given threshold value. Passivity based reconstruction methods are introduced to reconstruct the untransmitted values at the receiver guaranteeing stability of the overall system. Experiments show that a packet rate reduction of up to 87% is achieved without impairing transparency

Towards Deadband Control In Networked Teleoperation Systems

One of the key challenges in current bilateral teleoperation systems is the high data packet rate necessary for the transmission of the sampled command and sensor data. We present a novel, psychophysically motivated approach to reduce the packet rate based on a deadband transmission strategy. Data packets are only sent if the sampled signal changes more than a given threshold value