The effect of gravity on hand spatio-temporal kinematic features during functional movements
- PMID: 39739850
- PMCID: PMC11687672
- DOI: 10.1371/journal.pone.0310192
The effect of gravity on hand spatio-temporal kinematic features during functional movements
Abstract
Understanding the impact of gravity on daily upper-limb movements is crucial for comprehending upper-limb impairments. This study investigates the relationship between gravitational force and upper-limb mobility by analyzing hand trajectories from 24 healthy subjects performing nine pick-and-place tasks, captured using a motion capture system. The results reveal significant differences in motor behavior in terms of planning, smoothness, efficiency, and accuracy when movements are performed against or with gravity. Analysis showed that upward movements (g-) resembled transversal ones (g0) but differed significantly from downward movements (g+). Corrective movements in g+ began later than in g- and g0, indicating different motor planning models. Velocity profiles highlighted smoother movements in g- and g0 compared to g+. Smoothness was lower in g+, indicating less coordinated movements. Efficiency showed significant variability with no specific trends due to subjective task duration among subjects. This study highlights the importance of considering gravitational effects when evaluating upper-limb movements, especially for individuals with neurological impairments. Planning metrics, including Percent Time to Peak Velocity and Percent Time to Peak Standard Deviation, showed significant differences between g- and g0 compared to g+, supporting Fitts' law on the trade-off between speed and accuracy. Two novel indications were also introduced: the Target Position Error and the Minimum Required Tunnel. These new indicators provided insights into hand-eye coordination and movement variability. The findings suggest that motor planning, smoothness, and efficiency are significantly influenced by gravity, emphasizing the need for differentiated approaches in assessing and rehabilitating upper-limb impairments. Future research should explore these metrics in impaired populations to develop targeted rehabilitation strategies.
Copyright: © 2024 Bucchieri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures






Similar articles
-
Modifying upper-limb inter-joint coordination in healthy subjects by training with a robotic exoskeleton.J Neuroeng Rehabil. 2017 Jun 12;14(1):55. doi: 10.1186/s12984-017-0254-x. J Neuroeng Rehabil. 2017. PMID: 28606179 Free PMC article.
-
Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements.PLoS One. 2018 Mar 12;13(3):e0193639. doi: 10.1371/journal.pone.0193639. eCollection 2018. PLoS One. 2018. PMID: 29529064 Free PMC article.
-
Comparison of upper limb kinematics in two activities of daily living with different handling requirements.Hum Mov Sci. 2020 Aug;72:102632. doi: 10.1016/j.humov.2020.102632. Epub 2020 May 21. Hum Mov Sci. 2020. PMID: 32452388
-
Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability.J Neuroeng Rehabil. 2023 Feb 15;20(1):21. doi: 10.1186/s12984-023-01142-7. J Neuroeng Rehabil. 2023. PMID: 36793077 Free PMC article. Review.
-
Systematic Review on Kinematic Assessments of Upper Limb Movements After Stroke.Stroke. 2019 Mar;50(3):718-727. doi: 10.1161/STROKEAHA.118.023531. Stroke. 2019. PMID: 30776997
Cited by
-
Reducing Upper-Limb Muscle Effort with Model-Based Gravity Compensation During Robot-Assisted Movement.Sensors (Basel). 2025 May 12;25(10):3032. doi: 10.3390/s25103032. Sensors (Basel). 2025. PMID: 40431827 Free PMC article.
-
Assessment of upper limb motor control: establishing normative benchmarks for clinical applications.PeerJ. 2025 Aug 22;13:e19859. doi: 10.7717/peerj.19859. eCollection 2025. PeerJ. 2025. PMID: 40860663 Free PMC article.
References
-
- Sheridan TB, Ferrell WR. Man-machine systems; Information, control, and decision models of human performance. the MIT press; 1974.
-
- Papaxanthis C, Pozzo T, Popov KE, McIntyre J. Hand trajectories of vertical arm movements in one-G and zero-G environments Evidence for a central representation of gravitational force: Evidence for a central representation of gravitational force. Experimental brain research. 1998;120:496–502. doi: 10.1007/s002210050423 - DOI - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources