Literature DB >> 22255571

Preliminary design of a terrain recognition system.

Fan Zhang1, Zheng Fang, Ming Liu, He Huang.   

Abstract

This paper aims to design a wearable terrain recognition system, which might assist the control of powered artificial prosthetic legs. A laser distance sensor and inertial measurement unit (TMU) sensors were mounted on human body. These sensors were used to identify the movement state of the user, reconstruct the geometry of the terrain in front of the user while walking, and recognize the type of terrain before the user stepped on it. Different sensor configurations were investigated and compared. The designed system was evaluated on one healthy human subject when walking on an obstacle course in the laboratory environment. The results showed that the reconstructed terrain height demonstrated clearer pattern difference among studied terrains when the laser was placed on the waist than that when the laser was mounted on the shank. The designed system with the laser on the waist accurately recognized 157 out of 160 tested terrain transitions, 300 ms-2870 ms before the user switched the negotiated terrains. These promising results demonstrated the potential application of the designed terrain recognition system to further improve the control of powered artificial legs.

Entities:  

Mesh:

Year:  2011        PMID: 22255571      PMCID: PMC3718465          DOI: 10.1109/IEMBS.2011.6091391

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  How far ahead do we look when required to step on specific locations in the travel path during locomotion?

Authors:  Aftab E Patla; Joan N Vickers
Journal:  Exp Brain Res       Date:  2002-11-09       Impact factor: 1.972

2.  Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits.

Authors:  Samuel Au; Max Berniker; Hugh Herr
Journal:  Neural Netw       Date:  2008-04-26

3.  Agonist-antagonist active knee prosthesis: a preliminary study in level-ground walking.

Authors:  Ernesto C Martinez-Villalpando; Hugh Herr
Journal:  J Rehabil Res Dev       Date:  2009

4.  Design and Control of a Powered Transfemoral Prosthesis.

Authors:  Frank Sup; Amit Bohara; Michael Goldfarb
Journal:  Int J Rob Res       Date:  2008-02-01       Impact factor: 4.703

5.  Multiclass real-time intent recognition of a powered lower limb prosthesis.

Authors:  Huseyin Atakan Varol; Frank Sup; Michael Goldfarb
Journal:  IEEE Trans Biomed Eng       Date:  2009-10-20       Impact factor: 4.538

6.  A strategy for identifying locomotion modes using surface electromyography.

Authors:  He Huang; Todd A Kuiken; Robert D Lipschutz
Journal:  IEEE Trans Biomed Eng       Date:  2009-01       Impact factor: 4.538

  6 in total
  15 in total

1.  Toward design of an environment-aware adaptive locomotion-mode-recognition system.

Authors:  Lin Du; Fan Zhang; Ming Liu; He Huang
Journal:  IEEE Trans Biomed Eng       Date:  2012-10       Impact factor: 4.538

2.  An automatic and user-driven training method for locomotion mode recognition for artificial leg control.

Authors:  Xiaorong Zhang; Ding Wang; Qing Yang; He Huang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

3.  Online adaptive neural control of a robotic lower limb prosthesis.

Authors:  J A Spanias; A M Simon; S B Finucane; E J Perreault; L J Hargrove
Journal:  J Neural Eng       Date:  2018-02       Impact factor: 5.379

Review 4.  EMG-driven control in lower limb prostheses: a topic-based systematic review.

Authors:  Andrea Cimolato; Josephus J M Driessen; Leonardo S Mattos; Elena De Momi; Matteo Laffranchi; Lorenzo De Michieli
Journal:  J Neuroeng Rehabil       Date:  2022-05-07       Impact factor: 5.208

Review 5.  Control strategies for active lower extremity prosthetics and orthotics: a review.

Authors:  Michael R Tucker; Jeremy Olivier; Anna Pagel; Hannes Bleuler; Mohamed Bouri; Olivier Lambercy; José Del R Millán; Robert Riener; Heike Vallery; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2015-01-05       Impact factor: 4.262

6.  PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons.

Authors:  Yi Long; Zhi-Jiang Du; Wei-Dong Wang; Guang-Yu Zhao; Guo-Qiang Xu; Long He; Xi-Wang Mao; Wei Dong
Journal:  Sensors (Basel)       Date:  2016-09-02       Impact factor: 3.576

7.  Detection of Gait Modes Using an Artificial Neural Network during Walking with a Powered Ankle-Foot Orthosis.

Authors:  Mazharul Islam; Elizabeth T Hsiao-Wecksler
Journal:  J Biophys       Date:  2016-12-13

8.  Whole Body Awareness for Controlling a Robotic Transfemoral Prosthesis.

Authors:  Andrea Parri; Elena Martini; Joost Geeroms; Louis Flynn; Guido Pasquini; Simona Crea; Raffaele Molino Lova; Dirk Lefeber; Roman Kamnik; Marko Munih; Nicola Vitiello
Journal:  Front Neurorobot       Date:  2017-05-30       Impact factor: 2.650

Review 9.  Relying on more sense for enhancing lower limb prostheses control: a review.

Authors:  Michael Tschiedel; Michael Friedrich Russold; Eugenijus Kaniusas
Journal:  J Neuroeng Rehabil       Date:  2020-07-17       Impact factor: 4.262

Review 10.  A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices.

Authors:  Nili E Krausz; Levi J Hargrove
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

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