Name
Abstract | ||
|---|---|---|
Human movements are inherently variable and involve some feedback mechanism. A study of the positional variance in a tapping task reveals that the variance profiles are unimodal in time. In the variance-decreasing phase, the aiming task can be modeled by a Shannon-like communication scheme where information is transmitted from a "source"-determined by the distance to the target at maximum variance-to a "destination"-the movement endpoint-over a "channel" with feedback perturbed by Gaussian noise. Thanks to the feedback link, we show that the variance decreases exponentially at a rate given by the channel capacity. This is confirmed on real data. The proposed information-theoretic model has promise to improve our understanding of human aimed movements. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SMC.2018.00585 | 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) |
Field | DocType | ISSN |
Computer science,Control theory,Communication channel,Tapping,Gaussian noise,Channel capacity,Exponential growth | Conference | 1062-922X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julien Gori | 1 | 9 | 3.16 |
| Olivier Rioul | 2 | 92 | 23.54 |