Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]
"Robot Control System Based on Electrooculography and Electromyogram"
written by Minoru Sasaki, Muhammad Syaiful Amri Bin Suhaimi, Kojiro Matsushita, Satoshi Ito, Muhammad Ilhamdi Rusydi,
published by Journal of Computer and Communications, Vol.3 No.11, 2015
has been cited by the following article(s):
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[1] Object grasp control of a 3d robot arm by combining eog gaze estimation and camera-based object recognition
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[2] Development of a Virtual Environment-Based Electrooculogram Control System for Safe Electric Wheelchair Mobility for Individuals with Severe Physical Disabilities
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[3] Enhancing Interface Efficiency: Adaptive Virtual Keyboard Minimizing Keystrokes in Electrooculography-Based Control
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[4] Hand Gesture Wheelchair Control Based on the Wrist Rotation with Agglomerative Hierarchical Clustering Method
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[6] Phân loại hành vi nhìn của mắt theo tín hiệu điện nhãn đồ ứng dụng công cụ labview= Classification of eye behavior based on electrooculogram signals using …
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[7] PATG-MMS: Plataforma Gameficada de Avaliação e Treinamento Muscular de Membro Superior
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[8] Advances in Robotic Systems: Design, Modeling, Development and Control Principles
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[9] ANFIS (Adaptive Neuro-Fuzzy Inference System) Sebagai Metode Klastering Sinyal Electrooculography Untuk Kendali Alternatif Kursi Roda Pintar
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[10] HUMAN MACHINE INTERFACE BERBASIS ELECTROOCULOGRAPHY UNTUK KONTROL ALTERNATIF KURSI RODA MENGGUNAKAN BACK PROPAGATION …
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[11] Practical Application of a Tongue-Operated Joystick Device with Force Feedback Mechanism
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[12] 24-Gaze-Point Calibration Method for Improving the Precision of AC-EOG Gaze Estimation
2019
[13] Robot mobile control based on three EMG signals using an artificial neural network
2019
[14] Recognition of horizontal gaze motion based on electrooculography using tsugeno fuzzy logic
2019
[15] 24-Gaze-Point Calibration Method for Improving the Precision of AC-EOG Gaze Estimation.
Sensors (Basel, Switzerland), 2019
[16] KENDALI PROTOTIPE KURSI RODA MENGGUNAKAN SENSOR ELECTROOCULOGRAPHY (EOG) DENGAN METODE SUPPORT VECTOR MACHINE
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[17] Prosthetic arm control using processing device, a comparative approach
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[18] Prosthetic arm control using processing device, a comparative approach.
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[19] Thomas,“Prosthetic arm control using processing device, a comparative approach”
Biomedical Research (India), 2018
[20] Increasing trend of wearables and multimodal interface for human activity monitoring: A review
Biosensors and Bioelectronics, 2017
[21] Tongue-operated joystick device with reaction force feedback mechanism
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[22] Low computational complexity classifier based on the maximum relative global peak for the classification of EOG signals
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[23] HYBRID FUZZY ELECTROOCULOGRAPHY DAN ELECTROMYOGRAPHY SEBAGAI METODE KENDALI ALTERNATIF PROTOTYPE KURSI RODA BAGI …
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[24] Control Systems in Robotics: A Review
International Journal of Engineering Inventions, 2016
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