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First published online January 30, 2009
Journal of Experimental Biology 212, 523-534 (2009)
Published by The Company of Biologists 2009
doi: 10.1242/jeb.024927
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Control and function of arm swing in human walking and running

Herman Pontzer1,*, John H. Holloway, 4th1, David A. Raichlen2 and Daniel E. Lieberman3

1 Department of Anthropology, Washington University, 119 McMillan Hall, Saint Louis, MO 63130, USA
2 Department of Anthropology, University of Arizona, 1009 E. South Campus Drive, PO Box 210030, Tucson, AZ 85721, USA
3 Department of Anthropology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA


Figure 1
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Fig. 1. Schematic diagram of passive and active arm swing hypotheses. (A) Simple mass damper (see Soong and Dargush, 1997Go). Oscillating forces applied by a controller (red element) to the principle Mass 1 will tend to move it (solid line in position plot); the attachment of an auxiliary Mass 2 using a damped spring can decrease the amplitude of movement of Mass 1 (dashed line in position plot); the effectiveness of the damping is a function of the spring stiffness k and damping constant c, and is proportional to Mass 2. (B) In the passive arm swing model, oscillating moments from the swinging legs tend to accelerate the pelvis and other body segments in turn; all energy in the system is generated by the legs. The arms act as an auxiliary mass which damps movement of the torso (and head). Shoulder and arm accelerations are predicted to increase with angular displacement of the trunk (y) and shoulder (x), respectively. (C) In the active arm swing model, energy into the system comes from both the swinging legs and the shoulder muscles driving the arms. Accelerations of the pelvis and torso are expected to be negatively correlated (i.e. in opposition). Since forces of the shoulder muscles will accelerate both the arm and torso masses, albeit in opposing directions, arm acceleration is predicted to be negatively correlated with shoulder acceleration. In both passive and active models, oscillation of the torso and head will increase if arms are removed. Note that these systems (B and C) are rotational in nature, but are rendered as linear systems here for clarity.

 

Figure 2
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Fig. 2. Schematic diagram of the reference frame and kinematic variables. Rotation of the head, shoulders and pelvis in the transverse (x–y) plane about the vertical (z) axis was measured using reflective markers (gray circles) with reference to the x-axis; arrows indicate positive rotation. Trunk torsion was measured as the rotation of the pelvis relative to the shoulders. Arm rotation was measured in the sagittal (y–z) plane using the reconstructed arm center of mass (*) and shoulder relative to vertical; arrow indicates positive rotation. Angular displacement of the shoulder ({alpha}) was defined as negative when the arm was retracted (as shown), positive when protracted. Step width was measured as the difference in x-position of successive heel strikes.

 

Figure 3
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Fig. 3. Mean ± s.d. (A) shoulder rotation, (B) head yaw and (C) phase differences between peak shoulder rotation and peak pelvis rotation. *Significant difference compared with control trials (P<0.05). {dagger}Significant difference compared with arm weights trials (P<0.05). {ddagger}Significant difference compared with both arm weights and control trials (P<0.05).

 

Figure 4
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Fig. 4. Kinematic results. (A–D) Predictions of the passive arm swing hypothesis (see Fig. 2B); (E–H) active arm swing predictions (see Fig. 2C). Plots are representative results for walking and running and list the subject (Sub.) and speed shown. Histograms are Pearson's R-values for all speeds and subjects, walking and running combined. Hatched areas in histograms indicate predicted values for passive (B,D) or active (F,H) hypotheses.

 

Figure 5
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Fig. 5. Representative anterior and posterior deltoid activity for (A) arm pump, (B) 1.5 m s–1 walking, and (C) 3.0 m s–1 running trials. EMG data have been processed as described in the text and normalized to the maximum activation within a trial. The subject from whom data were obtained is listed.

 

Figure 6
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Fig. 6. Representative angular velocity (red line) and angular acceleration (blue line) for the arm at the shoulder, overlaid on normalized anterior and posterior deltoid activity, during (A) walking at 1.5 m s–1 and (B) running at 3.0 m s–1. Deltoid activity is processed and shown as in Fig. 5. Periods of apparent eccentric contraction are indicated (red arrows), as are periods in which shoulder acceleration is in opposition to prevailing muscle activity (blue arrows) or occurs without substantial deltoid activity (black arrows). Not all such periods are indicated.

 

Figure 7
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Fig. 7. Mean ± s.d. values for walking (1.5 m s–1) and running (3.0 m s–1) for (A) step width variation and (B) locomotor cost. *Significant difference compared with control trials (P<0.05).

 

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