Literature DB >> 18417138

Synthesis of natural arm swing motion in human bipedal walking.

Jaeheung Park1.   

Abstract

It has historically been believed that the role of arm motion during walking is related to balancing. Arm motion during natural walking is distinguished in that each arm swing is with the motion of the opposing leg. Although this arm swing motion is generated naturally during bipedal walking, it is interesting to note that the arm swing motion is not necessary for stable walking. This paper attempts to explain the contribution of out-of-phase arm swing in human bipedal walking. Consequently, a human motion control methodology that generates this arm swing motion during walking is proposed. The relationship between arm swing and reaction moment about the vertical axis of the foot is explained in the context of the dynamics of a multi-body articulated system. From this understanding, it is reasoned that arm swing is the result of an effort to reduce the reaction moment about the vertical axis of the foot while the torso and legs are being controlled. This idea is applied to the generation of walking motion. The arm swing motion can be generated, not by designing and tracking joint trajectories of the arms, but by limiting the allowable reaction moment at the foot and minimizing whole-body motion while controlling the lower limbs and torso to follow the designed trajectory. Simulation results, first with the constraint on the foot vertical axis moment and then without, verify the relationship between arm swing and foot reaction moment. These results also demonstrate the use of the dynamic control method in generating arm swing motion.

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Year:  2008        PMID: 18417138     DOI: 10.1016/j.jbiomech.2008.02.031

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  18 in total

1.  Coordination between upper- and lower-limb movements is different during overground and treadmill walking.

Authors:  Ilaria Carpinella; Paolo Crenna; Marco Rabuffetti; Maurizio Ferrarin
Journal:  Eur J Appl Physiol       Date:  2009-09-16       Impact factor: 3.078

2.  Predictive simulation of gait at low gravity reveals skipping as the preferred locomotion strategy.

Authors:  Marko Ackermann; Antonie J van den Bogert
Journal:  J Biomech       Date:  2012-02-24       Impact factor: 2.712

3.  Arm and leg coordination during treadmill walking in individuals with motor incomplete spinal cord injury: a preliminary study.

Authors:  Nicole J Tester; Hugues Barbeau; Dena R Howland; Amy Cantrell; Andrea L Behrman
Journal:  Gait Posture       Date:  2012-02-14       Impact factor: 2.840

Review 4.  Sherlock Holmes and the curious case of the human locomotor central pattern generator.

Authors:  Taryn Klarner; E Paul Zehr
Journal:  J Neurophysiol       Date:  2018-03-14       Impact factor: 2.714

5.  Interlimb coordination is impaired during walking in persons with Parkinson's disease.

Authors:  Ryan T Roemmich; Adam M Field; Jonathan M Elrod; Elizabeth L Stegemöller; Michael S Okun; Chris J Hass
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-10-10       Impact factor: 2.063

6.  A rolling constraint reproduces ground reaction forces and moments in dynamic simulations of walking, running, and crouch gait.

Authors:  Samuel R Hamner; Ajay Seth; Katherine M Steele; Scott L Delp
Journal:  J Biomech       Date:  2013-05-21       Impact factor: 2.712

7.  Dynamic arm swinging in human walking.

Authors:  Steven H Collins; Peter G Adamczyk; Arthur D Kuo
Journal:  Proc Biol Sci       Date:  2009-07-29       Impact factor: 5.349

8.  Step length estimation using handheld inertial sensors.

Authors:  Valérie Renaudin; Melania Susi; Gérard Lachapelle
Journal:  Sensors (Basel)       Date:  2012-06-25       Impact factor: 3.576

9.  Device use, locomotor training and the presence of arm swing during treadmill walking after spinal cord injury.

Authors:  N J Tester; D R Howland; K V Day; S P Suter; A Cantrell; A L Behrman
Journal:  Spinal Cord       Date:  2010-10-12       Impact factor: 2.772

10.  Motion mode recognition and step detection algorithms for mobile phone users.

Authors:  Melania Susi; Valérie Renaudin; Gérard Lachapelle
Journal:  Sensors (Basel)       Date:  2013-01-24       Impact factor: 3.576

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