dspanah / Human-Activity-Recognition-Keras-AndroidLinks
Sensor-based human activity recognition from smartphone data in Keras with on-device inference
☆41Updated 6 years ago
Alternatives and similar repositories for Human-Activity-Recognition-Keras-Android
Users that are interested in Human-Activity-Recognition-Keras-Android are comparing it to the libraries listed below
Sorting:
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 years ago
- Human Activity Recognition Using Deep Learning☆49Updated 5 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
- Analysis of the SisFall fall detection dataset with readings from accelerometer and gyroscope.☆52Updated 6 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆57Updated 4 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆102Updated 5 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- ☆55Updated 6 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆349Updated 3 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆195Updated 4 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 7 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆87Updated 5 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆92Updated 3 months ago
- Deep Learning-Based Gait Recognition Using Smartphones in the Wild☆119Updated last year
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆97Updated 8 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Updated 7 years ago
- Transformer for Human Activity Recognition☆74Updated 2 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆52Updated 3 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆313Updated 9 months ago
- Personalized machine learning on the smartphone☆59Updated 2 years ago
- ☆41Updated 7 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆68Updated 8 months ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 5 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆60Updated 6 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆25Updated 4 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 7 years ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆38Updated 3 years ago