Abstract
The act of puncturing a surface with a hand-held tool is a ubiquitous but complex motor behavior that requires precise force control to avoid potentially severe consequences. We present a detailed model of puncture over a time course of approximately 1,000 ms, which is fit to kinematic data from individual punctures, obtained via a simulation with high-fidelity force feedback. The model describes puncture as proceeding from purely physically determined interactions between the surface and tool, through decline of force due to biomechanical viscosity, to cortically mediated voluntary control. When fit to the data, it yields parameters for the inertial mass of the tool/person coupling, time characteristic of force decline, onset of active braking, stopping time and distance, and late oscillatory behavior, all of which the analysis relates to physical variables manipulated in the simulation. While the present data characterize distinct phases of motor performance in a group of healthy young adults, the approach could potentially be extended to quantify the performance of individuals from other populations, e.g., with sensory-motor impairments. Applications to surgical force control devices are also considered.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 251-260 |
| Number of pages | 10 |
| Journal | Experimental Brain Research |
| Volume | 230 |
| Issue number | 2 |
| DOIs | |
| State | Published - Oct 2013 |
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Keywords
- Application
- Biomechanics
- Force control
- Haptic
- Model
- Motor
- Oscillation
- Physics
ASJC Scopus subject areas
- Neuroscience(all)
Cite this
A model of motor performance during surface penetration : From physics to voluntary control. / Klatzky, Roberta L.; Gershon, Pnina; Shivaprabhu, Vikas; Lee, Randy; Wu, Bing; Stetten, George; Swendsen, Robert H.
In: Experimental Brain Research, Vol. 230, No. 2, 10.2013, p. 251-260.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A model of motor performance during surface penetration
T2 - From physics to voluntary control
AU - Klatzky, Roberta L.
AU - Gershon, Pnina
AU - Shivaprabhu, Vikas
AU - Lee, Randy
AU - Wu, Bing
AU - Stetten, George
AU - Swendsen, Robert H.
PY - 2013/10
Y1 - 2013/10
N2 - The act of puncturing a surface with a hand-held tool is a ubiquitous but complex motor behavior that requires precise force control to avoid potentially severe consequences. We present a detailed model of puncture over a time course of approximately 1,000 ms, which is fit to kinematic data from individual punctures, obtained via a simulation with high-fidelity force feedback. The model describes puncture as proceeding from purely physically determined interactions between the surface and tool, through decline of force due to biomechanical viscosity, to cortically mediated voluntary control. When fit to the data, it yields parameters for the inertial mass of the tool/person coupling, time characteristic of force decline, onset of active braking, stopping time and distance, and late oscillatory behavior, all of which the analysis relates to physical variables manipulated in the simulation. While the present data characterize distinct phases of motor performance in a group of healthy young adults, the approach could potentially be extended to quantify the performance of individuals from other populations, e.g., with sensory-motor impairments. Applications to surgical force control devices are also considered.
AB - The act of puncturing a surface with a hand-held tool is a ubiquitous but complex motor behavior that requires precise force control to avoid potentially severe consequences. We present a detailed model of puncture over a time course of approximately 1,000 ms, which is fit to kinematic data from individual punctures, obtained via a simulation with high-fidelity force feedback. The model describes puncture as proceeding from purely physically determined interactions between the surface and tool, through decline of force due to biomechanical viscosity, to cortically mediated voluntary control. When fit to the data, it yields parameters for the inertial mass of the tool/person coupling, time characteristic of force decline, onset of active braking, stopping time and distance, and late oscillatory behavior, all of which the analysis relates to physical variables manipulated in the simulation. While the present data characterize distinct phases of motor performance in a group of healthy young adults, the approach could potentially be extended to quantify the performance of individuals from other populations, e.g., with sensory-motor impairments. Applications to surgical force control devices are also considered.
KW - Application
KW - Biomechanics
KW - Force control
KW - Haptic
KW - Model
KW - Motor
KW - Oscillation
KW - Physics
UR - http://www.scopus.com/inward/record.url?scp=84887431649&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887431649&partnerID=8YFLogxK
U2 - 10.1007/s00221-013-3648-4
DO - 10.1007/s00221-013-3648-4
M3 - Article
VL - 230
SP - 251
EP - 260
JO - Experimental Brain Research
JF - Experimental Brain Research
SN - 0014-4819
IS - 2
ER -