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Physical interface dynamics alter how robotic exosuits augment human movement: implications for optimizing wearable assistive devices

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, May 2017
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Title
Physical interface dynamics alter how robotic exosuits augment human movement: implications for optimizing wearable assistive devices
Published in
Journal of NeuroEngineering and Rehabilitation, May 2017
DOI 10.1186/s12984-017-0247-9
Pubmed ID
Authors

Matthew B. Yandell, Brendan T. Quinlivan, Dmitry Popov, Conor Walsh, Karl E. Zelik

Abstract

Wearable assistive devices have demonstrated the potential to improve mobility outcomes for individuals with disabilities, and to augment healthy human performance; however, these benefits depend on how effectively power is transmitted from the device to the human user. Quantifying and understanding this power transmission is challenging due to complex human-device interface dynamics that occur as biological tissues and physical interface materials deform and displace under load, absorbing and returning power. Here we introduce a new methodology for quickly estimating interface power dynamics during movement tasks using common motion capture and force measurements, and then apply this method to quantify how a soft robotic ankle exosuit interacts with and transfers power to the human body during walking. We partition exosuit end-effector power (i.e., power output from the device) into power that augments ankle plantarflexion (termed augmentation power) vs. power that goes into deformation and motion of interface materials and underlying soft tissues (termed interface power). We provide empirical evidence of how human-exosuit interfaces absorb and return energy, reshaping exosuit-to-human power flow and resulting in three key consequences: (i) During exosuit loading (as applied forces increased), about 55% of exosuit end-effector power was absorbed into the interfaces. (ii) However, during subsequent exosuit unloading (as applied forces decreased) most of the absorbed interface power was returned viscoelastically. Consequently, the majority (about 75%) of exosuit end-effector work over each stride contributed to augmenting ankle plantarflexion. (iii) Ankle augmentation power (and work) was delayed relative to exosuit end-effector power, due to these interface energy absorption and return dynamics. Our findings elucidate the complexities of human-exosuit interface dynamics during transmission of power from assistive devices to the human body, and provide insight into improving the design and control of wearable robots. We conclude that in order to optimize the performance of wearable assistive devices it is important, throughout design and evaluation phases, to account for human-device interface dynamics that affect power transmission and thus human augmentation benefits.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 309 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 27%
Researcher 43 14%
Student > Master 41 13%
Student > Bachelor 21 7%
Student > Doctoral Student 15 5%
Other 37 12%
Unknown 68 22%
Readers by discipline Count As %
Engineering 166 54%
Sports and Recreations 9 3%
Computer Science 9 3%
Medicine and Dentistry 8 3%
Nursing and Health Professions 6 2%
Other 29 9%
Unknown 82 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2017.
All research outputs
#14,346,585
of 22,973,051 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#733
of 1,288 outputs
Outputs of similar age
#175,221
of 313,770 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#11
of 28 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.