We propose a lower extremity exoskeleton device which adds a passive extensor moment (restoring moment) about the hips during squat lifting, thus reducing forces on the lower back by reducing the required extensor muscle force. Video sequences were recorded of normal speed sagittal squat lifting 44.5 N (10 lb) and 133.5 N (30 lb) packages for marker tracking. Calculations suggested that the device reduces maximum spine compressive forces by approximately 1300 N. Surface electromyography (EMG) was performed on 6 subjects supporting 44.5 N (10 lb) and 133.5 N (30 lb) packages in the static squat posture. With the device, back muscles demonstrated a 54% reduction in muscle activity. This exoskeleton device includes features not available on other devices including highly adjustable moment profile and elimination of high contact stress in the lower extremities by connecting directly with the ground.
Skip Nav Destination
ASME 2009 Dynamic Systems and Control Conference
October 12–14, 2009
Hollywood, California, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4893-7
PROCEEDINGS PAPER
Lower Extremity Exoskeleton Reduces Back Forces in Lifting
Michael Wehner,
Michael Wehner
University of California at Berkeley, Berkeley, CA
Search for other works by this author on:
David Rempel,
David Rempel
University of California at Berkeley, Berkeley, CA
Search for other works by this author on:
Homayoon Kazerooni
Homayoon Kazerooni
University of California at Berkeley, Berkeley, CA
Search for other works by this author on:
Michael Wehner
University of California at Berkeley, Berkeley, CA
David Rempel
University of California at Berkeley, Berkeley, CA
Homayoon Kazerooni
University of California at Berkeley, Berkeley, CA
Paper No:
DSCC2009-2644, pp. 49-56; 8 pages
Published Online:
September 16, 2010
Citation
Wehner, M, Rempel, D, & Kazerooni, H. "Lower Extremity Exoskeleton Reduces Back Forces in Lifting." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 2. Hollywood, California, USA. October 12–14, 2009. pp. 49-56. ASME. https://doi.org/10.1115/DSCC2009-2644
Download citation file:
255
Views
Related Proceedings Papers
Related Articles
Characterization of the Frequency and Muscle Responses of the Lumbar and Thoracic Spines of Seated Volunteers During Sinusoidal Whole Body Vibration
J Biomech Eng (October,2014)
Measurement of Driver Steering Torque Using Electromyography
J. Dyn. Sys., Meas., Control (December,2006)
Related Chapters
A Review for Feature Extraction of EMG Signal Processing
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
Classification of Electromyogram Signal for Control of Robotic Gripper
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
Modeling and Classification for Uterine EMG Signals Using Autoregressive Model
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16