Corrective jitter motion shows similar individual frequencies for the arm and the finger
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A characteristic of visuomotor tracking of non-regular oscillating stimuli are high-frequency jittery corrective motions, oscillating around the tracked stimuli. However, the properties of these corrective jitter responses are not well understood. For example, does the jitter response show an idiosyncratic signature? What is the relationship between stimuli properties and jitter properties? Is the jitter response similar across effectors with different inertial properties? To answer these questions, we measured participants’ jitter frequencies in two tracking tasks in the arm and the finger. Thirty participants tracked the same set of eleven non-regular oscillating stimuli, vertically moving on a screen, once with forward–backward arm movements (holding a tablet stylus) and once with upward–downward index finger movements (with a motion tracker attached). Participants’ jitter frequencies and tracking errors varied systematically as a function of stimuli frequency and amplitude. Additionally, there were clear individual differences in average jitter frequencies between participants, ranging from 0.7 to 1.15 Hz, similar to values reported previously. A comparison of individual jitter frequencies in the two tasks showed a strong correlation between participants’ jitter frequencies in the finger and the arm, despite the very different inertial properties of the two effectors. This result suggests that the corrective jitter response stems from common neural processes.
KeywordsVisuomotor tracking Jitter Intermittent control Submovements Motor control Mirror game
We thank Tomer Ilan for assistance in data collection. We thank the Braginsky Center for the Interface between Science and the Humanities, at the Weizmann Institute of Science for support (L.N. and U.A).
Conflict of interest
The authors declare that they have no conflict of interest.
- Fleishman E (1967) Individual differences and motor learning. In: Gange R (ed) Learning and individual differences. Merrill, Columbus, pp 165–191Google Scholar
- Friedman J (2014) Repeated measures (computer software). doi: 10.5281/zenodo.10438
- Friedman J, Alon U, Noy L (2014) Stimuli to accompany the article “Corrective jitter motion shows similar individual frequencies for the arm and the finger.” Retrieved Sept 17, 2014, from http://dx.doi.org/10.6084/m9.figshare.1172073
- Keele SW, Ivry RI (1987) Modular analysis of timing in motor skill. The psychology of learning and motivation: advances in research and theory, vol 21. Academic Press, San Diego, pp 183–228Google Scholar
- Khoramshahi M, Shukla A, Billard A (2014) Cognitive mechanism in synchronized motion: an internal predictive model for manual tracking control. In: The 2014 IEEE international conference on systems, man, and cybernetics (SMC2014), San Diego. doi: 10.1109/SMC.2014.6974003
- Zhai C, Alderisio F, Tsaneva-Atanasova K, Bernardo M (2014) Adaptive tracking control of a virtual player in the mirror game. In: 53rd IEEE conference on decision and control, Los AngelesGoogle Scholar