laxmimerit / Human-Activity-Recognition-Using-Accelerometer-Data-and-CNN
Human Activity Recognition Using Accelerometer Data and CNN
☆23Updated 5 years ago
Alternatives and similar repositories for Human-Activity-Recognition-Using-Accelerometer-Data-and-CNN:
Users that are interested in Human-Activity-Recognition-Using-Accelerometer-Data-and-CNN are comparing it to the libraries listed below
- 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
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆64Updated 2 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 4 years ago
- ☆54Updated 6 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆78Updated 4 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 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
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆194Updated 4 years ago
- Personalized machine learning on the smartphone☆59Updated 2 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆67Updated 7 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Updated 4 years ago
- girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-SmartphonesThis was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learnin…☆85Updated 7 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆58Updated 5 years ago
- Using Smartphones to Encourage Movement☆21Updated 5 years ago
- Transformer for Human Activity Recognition☆71Updated 2 years ago
- Deep learning and LSTM approaches for human activity recognition☆35Updated 2 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of user…☆33Updated 4 years ago
- This project senses human activity with the help of an app installed in the smartphone which uses ML to predict from the data collected f…☆13Updated 4 years ago
- ☆40Updated 7 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆91Updated 6 months ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆45Updated 3 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-bas…☆21Updated 5 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 7 years ago
- Sensor-based human activity recognition from smartphone data in Keras with on-device inference☆39Updated 5 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 6 years ago