Classification of right-hand grasp movement based on EMOTIV Epoc+

Mapping Intimacies ◽

10.1063/1.4991173 ◽

2017 ◽

Cited By ~ 3

Author(s):

T. A. M. L. Tobing ◽

Prawito ◽

S. K. Wijaya

Keyword(s):

Right Hand ◽

Hand Grasp

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Classification of EEG Signals Recorded During Imagery of Hand Grasp Movement

2020 Medical Technologies Congress (TIPTEKNO) ◽

10.1109/tiptekno50054.2020.9299228 ◽

2020 ◽

Author(s):

Osman Kerem ATES ◽

Onder AYDEMIR

Keyword(s):

Eeg Signals ◽

Hand Grasp

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Generalized Sequential Forward Selection Method for Channel Selection in EEG Signals for Classification of Left or Right Hand Movement in BCI

2019 9th International Conference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke48569.2019.8965159 ◽

2019 ◽

Cited By ~ 2

Author(s):

Moein Radman ◽

Ali Chaibakhsh ◽

Nader Nariman-zadeh ◽

Huiguang He

Keyword(s):

Hand Movement ◽

Channel Selection ◽

Selection Method ◽

Forward Selection ◽

Eeg Signals ◽

Right Hand ◽

Sequential Forward Selection

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Classification of left/right hand movement from EEG signal by intelligent algorithms

2014 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE) ◽

10.1109/iscaie.2014.7010230 ◽

2014 ◽

Cited By ~ 3

Author(s):

Muhammad Zeeshan Baig ◽

Ehtasham Javed ◽

Yasar Ayaz ◽

Waseem Afzal ◽

Syed Omer Gillani ◽

...

Keyword(s):

Hand Movement ◽

Eeg Signal ◽

Intelligent Algorithms ◽

Right Hand

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Classification of the Imagination of the Left and Right Hand Movements using EEG

2008 Cairo International Biomedical Engineering Conference ◽

10.1109/cibec.2008.4786098 ◽

2008 ◽

Cited By ~ 7

Author(s):

M. A. Hassan ◽

A. F. Ali ◽

M. I. Eladawy

Keyword(s):

Hand Movements ◽

Right Hand ◽

Left And Right

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Automatic channel selection in EEG signals for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2016.11.018 ◽

2017 ◽

Vol 33 ◽

pp. 109-118 ◽

Cited By ~ 41

Author(s):

Alireza Ghaemi ◽

Esmat Rashedi ◽

Ali Mohammad Pourrahimi ◽

Mehdi Kamandar ◽

Farhad Rahdari

Keyword(s):

Search Algorithm ◽

Hand Movement ◽

Channel Selection ◽

Brain Computer Interfaces ◽

Eeg Signals ◽

Computer Interfaces ◽

Right Hand

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Classification of left and right hand movement from EEG signals by HOS features

2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC) ◽

10.1109/isivc.2018.8709084 ◽

2018 ◽

Author(s):

LAGDALI Salwa ◽

RZIZA mohammed

Keyword(s):

Hand Movement ◽

Eeg Signals ◽

Right Hand ◽

Left And Right

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Genetic Algorithms in EEG Feature Selection for the Classification of Movements of the Left and Right Hand

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-00969-8_57 ◽

2013 ◽

pp. 579-589 ◽

Cited By ~ 18

Author(s):

Izabela Rejer

Keyword(s):

Genetic Algorithms ◽

Feature Selection ◽

Right Hand ◽

Left And Right ◽

Selection For

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Classification of Left/Right Hand Movement EEG Signals Using Event Related Potentials and Advanced Features

6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) - IFMBE Proceedings ◽

10.1007/978-981-10-4361-1_35 ◽

2017 ◽

pp. 209-215 ◽

Cited By ~ 3

Author(s):

Nguyen Thi Minh Huong ◽

Huynh Quang Linh ◽

Le Quoc Khai

Keyword(s):

Hand Movement ◽

Event Related Potentials ◽

Eeg Signals ◽

Right Hand ◽

Related Potentials

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Classification of Electroencephalogram Data from Hand Grasp and Release Movements for BCI Controlled Prosthesis

Procedia Technology ◽

10.1016/j.protcy.2016.08.048 ◽

2016 ◽

Vol 26 ◽

pp. 374-381 ◽

Cited By ~ 14

Author(s):

Gerrit Lange ◽

Cheng Yee Low ◽

Khairunnisa Johar ◽

Fazah Akthar Hanapiah ◽

Fadhlan Kamaruzaman

Keyword(s):

Hand Grasp

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HAND GRASP FUNCTION ANALYSIS BASED ON VF SET

International Journal of Humanoid Robotics ◽

10.1142/s0219843613500266 ◽

2013 ◽

Vol 10 (03) ◽

pp. 1350026 ◽

Cited By ~ 1

Author(s):

QIANG ZHAN ◽

XIANCAN LIU

Keyword(s):

Function Analysis ◽

Degree Of Freedom ◽

Human Hand ◽

Virtual Finger ◽

Detailed Classification ◽

Hand Grasp ◽

Motion Types

This paper presents a method based on virtual finger (VF) set to analyze the grasp function of bionic hand. In order to exactly represent different function units of human hand or bionic hand a more detailed classification of VF is proposed to divide VF into three types: VFFE, VFAA and VFPalm, of which a VF set describing hand grasp can be composed. The VF set cannot only describe the degree of freedom (DOF) distribution of human hand or bionic hand but also indicate which fingers take part in grasp and what motion types the fingers are. The VF sets of eight classic bionic hands and five basic human hand grasp postures are provided. The inclusion relationship between the VF set of a bionic hand and those of the basic human hand grasp postures is used to analyze the grasp function of a bionic hand. As examples the grasp functions of several classic bionic hands, such as i-LIMB Hand, HIT/DLR Hand, etc. are analyzed.

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