A data compression method for impulse response deformation model

As an approach to real-time simulation of haptic interaction with deformable objects, we proposed a record-reproduction method called dasiaimpulse response deformation modelpsila (IRDM), in which the deformation of an object shape is computed by convolving temporal sequence of interaction force with a pre-computed response of model to impulse force. Although, IRDM has an advantage that its computation cost of interaction force is independent of model complexity, it requires a huge amount of memory to store impulse response data corresponding to the combination of all input and output degrees of freedom. This paper discusses an approach to solve this problem by compressing the impulse response data. The key idea is to substitute similar impulse response waveforms by modification of a smaller number of representative waveforms. In our prototype implementation, a correlation coefficient was used as an index of the similarity. By this proposed approach the experimental implementation performance proved that the amount of storage was reduced to 1.1% of the original data size in cases where the threshold correlation coefficient value was 0.8.

1 Introduction

The transmission of multimedia information, including haptic and olfactory senses, through networks has been a subject of research on communication systems; integration of multimedia information is expected to improve sensation of reality in communication.