Name
Abstract | ||
|---|---|---|
In applications such as telesurgery, it is required to transmit haptic signals to a remote location with a delay of at most few milliseconds. To reduce the packet rate and yet retain perceptual quality, adaptive sampling has been explored in the literature. In particular, in earlier work we proposed and analyzed an adaptive sampling scheme based on Weber's law of perception. In this paper, we explore other possible adaptive sampling candidates. We describe an experimental setup where users are subjected to piecewise constant haptic stimuli to which they can respond with a click. We record the clicks and ask the question: can we identify signal features and classiers to predict the clicks? The answer suggests adaptive sampling schemes that improve over Weber sampling. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ITA.2013.6502929 | Information Theory and Applications Workshop |
Keywords | Field | DocType |
biomedical communication,haptic interfaces,human computer interaction,medical signal processing,signal classification,signal sampling,surgery,Weber law-of-perception,Weber sampling,adaptive sampling scheme,click prediction,haptic signal transmission,packet rate reduction,piecewise constant haptic stimuli,signal classifier identification,signal feature identification,telesurgery | Computer vision,Ask price,Computer science,Adaptive sampling,Network packet,Speech recognition,Sampling (statistics),Artificial intelligence,Perception,Haptic technology,Piecewise | Conference |
ISBN | Citations | PageRank |
978-1-4673-4648-1 | 8 | 0.56 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit Bhardwaj | 1 | 11 | 0.99 |
| Onkar Dabeer | 2 | 61 | 5.59 |
| Subhasis Chaudhuri | 3 | 1384 | 133.18 |