vincentbecker / TouchSenseLinks
Repository containing the code for the paper: "TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography Armband"
☆12Updated 6 years ago
Alternatives and similar repositories for TouchSense
Users that are interested in TouchSense are comparing it to the libraries listed below
Sorting:
- Access data from Thalmic Labs' Myo Gesture Control Armband in m-code!☆34Updated 2 years ago
- Code for extraction of muscle synergies from EMG activity. The rShiftNMF algorithm decomposes the EMG into a set of neural commands (H) a…☆20Updated 6 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago
- Human activity recognition using hidden Markov model.☆10Updated 7 years ago
- An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier☆19Updated 7 years ago
- Gesture recognition using myo armband via neural network (tensorflow library).☆42Updated 6 years ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆25Updated 3 years ago
- Fall detection using sensor data with the help of 1D Convolution Neural Networks. The implementation is done using Tensorflow.☆13Updated 7 years ago
- A python algorithm to detect foot contact and foot clearance using kinematic or inertial data during forward or backward walking☆9Updated 3 years ago
- ☆27Updated last week
- Data-Driven Gait Event Detection for Parkinson's Disease Patients with Freezing of Gait☆11Updated 4 years ago
- Classification of gestures from EMG readings using a deep learning recurrent neural network☆17Updated 5 years ago
- Code repo of the paper "A Multi-stream Convolutional Neural Network for sEMG-based Gesture Recognition in Musclecomputer interface".☆25Updated 6 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆44Updated 7 years ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆98Updated 4 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆33Updated 5 years ago
- A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extr…☆19Updated 6 years ago
- A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data☆15Updated 2 years ago
- Convert Xsens Dot data to OpenSense readable format☆28Updated 2 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆37Updated 6 years ago
- Python script for the Empatica E4 to connect to E4 streaming server and stream data using LSL.☆14Updated 5 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 7 years ago
- ☆20Updated 3 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆66Updated 6 years ago
- The Myo MATLAB data streaming interface relies on real time data read from the text files updated by Python. Python is used to communicat…☆19Updated 9 years ago
- deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variablesThe VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆84Updated 6 years ago
- ☆19Updated 2 years ago
- A RNN Classification of various leg movements using different lower limb muscle sEMG data.☆38Updated 6 years ago
- Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks☆32Updated 4 years ago
- Human whole-body pose estimation using MARG multi-sensor data☆67Updated 3 years ago