Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures

[1]  Karim Djouani,et al.  A Review of Active Hand Exoskeletons for Rehabilitation and Assistance , 2021, Robotics.

[2]  Cristina Nuzzi,et al.  HANDS: an RGB-D dataset of static hand-gestures for human-robot interaction , 2021, Data in brief.

[3]  Mehmet Akif Ozdemir,et al.  EMG based Hand Gesture Classification using Empirical Mode Decomposition Time-Series and Deep Learning , 2020, 2020 Medical Technologies Congress (TIPTEKNO).

[4]  Mehmet Akif Ozdemir,et al.  EMG based Hand Gesture Recognition using Deep Learning , 2020, 2020 Medical Technologies Congress (TIPTEKNO).

[5]  Asad Mansoor Khan,et al.  sEMG dataset of routine activities , 2020, Data in brief.

[6]  Adilbek Turgunov,et al.  A new dataset for the detection of hand movements based on the SEMG signal , 2020, 2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT).

[7]  Amir H. Gandomi,et al.  R-CNN and wavelet feature extraction for hand gesture recognition with EMG signals , 2020, Neural Computing and Applications.

[8]  Marco E. Benalcázar,et al.  Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review , 2020, Sensors.

[9]  Syed Omer Gilani,et al.  Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG , 2020, Sensors.

[10]  Piotr Kaczmarek,et al.  putEMG—A Surface Electromyography Hand Gesture Recognition Dataset , 2019, Sensors.

[11]  Reza Langari,et al.  An efficient approach to recognize hand gestures using machine-learning algorithms , 2018, 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).

[12]  Hong Liu,et al.  Robust EMG pattern recognition in the presence of confounding factors: features, classifiers and adaptive learning , 2018, Expert Syst. Appl..

[13]  Amir Hussain,et al.  A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair , 2016, Cognitive Computation.

[14]  Manfredo Atzori,et al.  The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[15]  Inhyuk Moon,et al.  Intelligent robotic wheelchair with EMG-, gesture-, and voice-based interfaces , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).