laxmimerit / Human-Activity-Recognition-Using-Accelerometer-Data-and-CNNLinks
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
Sorting:
- Human Activity Recognition Using Deep Learning☆48Updated 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
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆67Updated 2 years ago
- Personalized machine learning on the smartphone☆59Updated 2 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆80Updated 4 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 4 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
- An algorithm for Heart beat rate detection☆14Updated 6 years ago
- ☆54Updated 6 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
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 4 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
- Recognizing human activities using Deep Learning☆51Updated 4 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Updated 7 years ago
- Some Machine Learning techniques for Time Series classification.☆39Updated 8 years ago
- ☆36Updated 8 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…☆84Updated 7 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
- Deep learning and LSTM approaches for human activity recognition☆36Updated 2 years ago
- Multimodal System for Fall Detection☆47Updated 3 years ago
- Tutorial on Human Activity Recognition (HAR) using Keras to build intelligent mobile interfaces☆7Updated 10 months ago
- Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemen…☆29Updated 7 years ago
- Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning…☆21Updated 4 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆58Updated 6 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- Data Analysis and Machine Learning on Physical monitoring data☆15Updated 5 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆91Updated 2 weeks ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 6 years ago
- Transformer for Human Activity Recognition☆71Updated 2 years ago