Literature DB >> 26529274

Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis.

Marko Markovic1, Strahinja Dosen, Dejan Popovic, Bernhard Graimann, Dario Farina.   

Abstract

OBJECTIVE: Myoelectric activity volitionally generated by the user is often used for controlling hand prostheses in order to replicate the synergistic actions of muscles in healthy humans during grasping. Muscle synergies in healthy humans are based on the integration of visual perception, heuristics and proprioception. Here, we demonstrate how sensor fusion that combines artificial vision and proprioceptive information with the high-level processing characteristics of biological systems can be effectively used in transradial prosthesis control. APPROACH: We developed a novel context- and user-aware prosthesis (CASP) controller integrating computer vision and inertial sensing with myoelectric activity in order to achieve semi-autonomous and reactive control of a prosthetic hand. The presented method semi-automatically provides simultaneous and proportional control of multiple degrees-of-freedom (DOFs), thus decreasing overall physical effort while retaining full user control. The system was compared against the major commercial state-of-the art myoelectric control system in ten able-bodied and one amputee subject. All subjects used transradial prosthesis with an active wrist to grasp objects typically associated with activities of daily living. MAIN
RESULTS: The CASP significantly outperformed the myoelectric interface when controlling all of the prosthesis DOF. However, when tested with less complex prosthetic system (smaller number of DOF), the CASP was slower but resulted with reaching motions that contained less compensatory movements. Another important finding is that the CASP system required minimal user adaptation and training. SIGNIFICANCE: The CASP constitutes a substantial improvement for the control of multi-DOF prostheses. The application of the CASP will have a significant impact when translated to real-life scenarious, particularly with respect to improving the usability and acceptance of highly complex systems (e.g., full prosthetic arms) by amputees.

Entities:  

Mesh:

Year:  2015        PMID: 26529274     DOI: 10.1088/1741-2560/12/6/066022

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  16 in total

1.  Restoration of complex movement in the paralyzed upper limb.

Authors:  Brady A Hasse; Drew E G Sheets; Nicole L Holly; Katalin M Gothard; Andrew J Fuglevand
Journal:  J Neural Eng       Date:  2022-07-01       Impact factor: 5.043

2.  Automatic Grasp Selection using a Camera in a Hand Prosthesis.

Authors:  Joseph DeGol; Aadeel Akhtar; Bhargava Manja; Timothy Bretl
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2016-08

3.  Computational Analysis of Distance Operators for the Iterative Closest Point Algorithm.

Authors:  Higinio Mora; Jerónimo M Mora-Pascual; Alberto García-García; Pablo Martínez-González
Journal:  PLoS One       Date:  2016-10-21       Impact factor: 3.240

4.  Improving bimanual interaction with a prosthesis using semi-autonomous control.

Authors:  Robin Volkmar; Strahinja Dosen; Jose Gonzalez-Vargas; Marcus Baum; Marko Markovic
Journal:  J Neuroeng Rehabil       Date:  2019-11-14       Impact factor: 4.262

5.  Impact of Shared Control Modalities on Performance and Usability of Semi-autonomous Prostheses.

Authors:  Jérémy Mouchoux; Miguel A Bravo-Cabrera; Strahinja Dosen; Arndt F Schilling; Marko Markovic
Journal:  Front Neurorobot       Date:  2021-12-17       Impact factor: 2.650

6.  Improving Fine Control of Grasping Force during Hand-Object Interactions for a Soft Synergy-Inspired Myoelectric Prosthetic Hand.

Authors:  Qiushi Fu; Marco Santello
Journal:  Front Neurorobot       Date:  2018-01-10       Impact factor: 2.650

Review 7.  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

8.  Subject- and Environment-Based Sensor Variability for Wearable Lower-Limb Assistive Devices.

Authors:  Nili E Krausz; Blair H Hu; Levi J Hargrove
Journal:  Sensors (Basel)       Date:  2019-11-08       Impact factor: 3.576

9.  On the Visuomotor Behavior of Amputees and Able-Bodied People During Grasping.

Authors:  Valentina Gregori; Matteo Cognolato; Gianluca Saetta; Manfredo Atzori; Arjan Gijsberts
Journal:  Front Bioeng Biotechnol       Date:  2019-11-15

10.  A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses.

Authors:  Marcus Gardner; C Sebastian Mancero Castillo; Samuel Wilson; Dario Farina; Etienne Burdet; Boo Cheong Khoo; S Farokh Atashzar; Ravi Vaidyanathan
Journal:  Sensors (Basel)       Date:  2020-10-27       Impact factor: 3.576

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