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2023 | OriginalPaper | Chapter

Controlling of the Upper Limb Prosthesis Using Camera and Artificial Neural Networks

Authors : Agata Mrozek, Martyna Sopa, Jakub K. Grabski, Tomasz Walczak

Published in: Innovations in Biomedical Engineering

Publisher: Springer International Publishing

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Abstract

The loss of the upper limb, especially the hand, can affect the level of autonomy. Developing an effective control system for the upper limb prostheses could improve the quality of users’ life. The aim of this project was to design artificial neural networks for automatic grasp classification. A subset of the grips allowing to perform everyday activities was proposed. The proposed artificial neural networks were evaluated and the maximal accuracy reached 97%.

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previous chapter Finite Element Analysis of Lumbar Disc Implant, in Aspect of Treating Degenerative Changes in Spine
next chapter Lateral Tibial Condyle Fracture Stabilization—A Numerical Analysis
Literature
1.
Bullock IM, Feix T, Dollar AM (2013) Finding small, versatile sets of human grasps to span common objects. In: 2013 IEEE International Conference on Robotics Automation, pp 1068–1075
2.
Bullock IM, Zheng JZ, Rosa SDL, Guertler C, Dollar AM (2013) Grasp frequency and usage in daily household and machine shop tasks. IEEE Trans Haptics 6(3):296–308CrossRef
3.
Das N, Nagpal N, Bankura SS (2018) A review on the advancements in the field of upper limb prosthesis. J Med Eng Technol 42:532–545CrossRef
4.
DeGol J, Akhtar A, Manja B, Bretl T (2016) Automatic grasp selection using a camera in a hand prosthesis. In: 2016 38th annual international conference of the IEEE engineering in medicine and biology society, pp 431–434
5.
Feix T, Bullock IM, Dollar AM (2014) Analysis of human grasping behavior: correlating tasks. IEEE Trans Haptics Objects Grasps 7(4):430–441CrossRef
6.
Feix T, Bullock IM, Dollar AM (2014) Analysis of human grasping behavior: object characteristics and grasp type. IEEE Trans Haptics 7(3):311–323CrossRef
7.
Feix T, Romero J, Schmiedmayer H, Dollar AM, Kragic D (2016) The GRASP taxonomy of human grasp types. IEEE Trans Hum. Mach. Syst. 46(1):66–77CrossRef
8.
Geusebroek J, Burghouts GJ, Smeulders AWM (2004) The Amsterdam library of object images. Int J Comput Vis 61:103–112CrossRef
9.
Ghazaei G, Alameer A, Degenaar P, Morgan G, Nazarpour K (2017) Deep learning-based artificial vision for grasp classification in myoelectric hands. J Neural Eng 14(3):36025–36043CrossRef
10.
11.
Jochumsen M, Niazi IK, Dremstrup K, Kamavuako EN (2015) Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation. Med Biol Eng Comput 54(10):1491–1501CrossRef
12.
Klatzky RL, McCloskey B, Doherty S, Pellegrino J, Smith T (1987) Knowledge about hand shaping and knowledge about objects. J Motor Behav 19(2):187–213CrossRef
13.
Kothari A, Morrow J, Thrasher V, Engle K, Balasubramanian R, Grimm C (2018) Grasping objects big and small: human heuristics relating grasp-type and object size. In: 2018 IEEE international conference on robotics and automation, pp 4237–4242
14.
Lau M, Dev K, Dorsey J, Rushmeier H (2016) Learning a human-perceived softness measure of 3D virtual objects. In: ACM Transactions on Applied Perception (SAP 2016), pp 65–68
15.
Popovic DB, Sinkjaer T (2008) Central nervous system lesions leading to disability. J Autom Control 18(2):11–23CrossRef
16.
Vergara M, Sancho-Bru JL, Gracia-Ibáñez V, Pérez-González A (2014) An introductory study of common grasps used by adults during performance of activities of daily living. J Hand Ther 27(3):225–234CrossRef
17.
Zheng JZ, De La Rosa S, Dollar AM (2011) An investigation of grasp type and frequency in daily household and machine shop tasks. In: 2011 IEEE international conference on robotics and automation, pp 4169–4175
Metadata
Title
Controlling of the Upper Limb Prosthesis Using Camera and Artificial Neural Networks
Authors
Agata Mrozek
Martyna Sopa
Jakub K. Grabski
Tomasz Walczak
Copyright Year
2023
Book
Innovations in Biomedical Engineering

Print ISBN: 978-3-030-99111-1

Electronic ISBN: 978-3-030-99112-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-030-99112-8_30