## Abbreviations
In Proceedings of the IEEE Latin American Conference on Computational Intelligence (LA-CCI), Arequipa, Peru, 2-4 November 2017; pp. 1-5. * [19] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Surface EMG data aggregation processing for intelligent prosthetic action recognition. _Neural Comput. Appl._**2018**, _32_, 16795-16806. [CrossRef]
* [20] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] A learning scheme for EMG based decoding of dexterous, in-hand manipulation motions. _IEEE Trans. Neural Syst. Rehabil. Eng._**2017**, _27_, 2205-2215. [CrossRef]* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Classification of gait phases based on bilateral EMG data using support vector machines. In Proceedings of the 7 th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, 26-29 August 2018; pp. 978-983. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Estimation of EMG-based force using a neural-network-based approach. _IEEE Access_**2019**, \(7\), 64856-64865. [CrossRef]
* [PERSON] (2019) [PERSON] An upper limb movement estimation from electromyography by using BP neural network. _Biomed. Signal Process. Control_**2019**, _49_, 434-439. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] Activity EMG signal identification based on radial basis function neural networks. In Proceedings of the 8 th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, 20-22 November 2017; pp. 878-881. * [PERSON] et al. (2006) [PERSON]; [PERSON]; [PERSON] Classification of EMG signals using wavelet neural network. _J. Neurosci. Methods_**2006**, _156_, 360-367. [CrossRef] [PubMed]
* [PERSON] et al. (2006) [PERSON]; [PERSON]; [PERSON]; [PERSON] A neural network model for reconstructing EMG signals from eight shoulder muscles: Consequences for rehabilitation robotics and biofeedback. _J. Biomech._**2006**, _39_, 1924-1932. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Estimation of muscle activation during different walking speeds with two mathematical approaches compared to surface EMG. _Gait Posture_**2018**, _64_, 266-273. [CrossRef]
* [PERSON] et al. (2010) [PERSON]; [PERSON]; [PERSON] An EMG-based muscle force monitoring system. _J. Mech. Sci. Technol._**2010**, _24_, 2099-2105. [CrossRef]
* [PERSON] et al. (2007) [PERSON]; [PERSON]; [PERSON] Estimation of elbow-induced wrist force with EMG signals using fast orthogonal search. _IEEE Trans. Biomed. Eng._**2007**, _54_, 683-693. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Using a cost function based on kinematics and electromyographic data to quantify muscle forces. _J. Biomed._**2018**, _80_, 151-158. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An isometric muscle force estimation framework based on a high-density surface EMG array and an NMF algorithm. _J. Neural Eng._**2017**, _14_, 046005. [CrossRef] [PubMed]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Arm motion estimation algorithm using myo armband. In Proceedings of the 1 st IEEE International Conference on Robotic Computing (IRC), Taichung, Taiwan, 10-12 April 2017; pp. 376-381. * [PERSON] et al. (2016) [PERSON]; [PERSON], [PERSON]; [PERSON]; [PERSON]; [PERSON] Development of a hybrid motion capture method using myo armband with application to teleoperation. In Proceedings of the IEEE International Conference on Mechatronics and Automation, Harbin, China, 7-10 August 2016; pp. 1179-1184. * [PERSON] (2019) [PERSON] ExerciseTrak: Reconstructing Arm Posture for Upper-Body Exercises Using a Wrist-Mounted Motion Sensing Device. Master's Thesis, Cornell University, Ithaca, NY, USA, 2019. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Data Acquisition from the integration of kinect quaternions and myo armband EMG sensors to aid equins foot treatment.