deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variables
The VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was achieved from the data to learn (as a cellphone attached on the waist) to recognise the type of activity that the user is doing. The dataset's description goes like this: The sensor signals (accelerometer and gyr…
☆84Updated 6 years ago
Alternatives and similar repositories for Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variables:
Users that are interested in Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variables are comparing it to the libraries listed below
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 3 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆95Updated 7 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 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
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆56Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆45Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- ☆40Updated 7 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 6 years ago
- ☆54Updated 6 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Transformer for Human Activity Recognition☆65Updated 2 years ago
- ☆36Updated 7 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
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-bas…☆21Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Analysis of the SisFall fall detection dataset with readings from accelerometer and gyroscope.☆43Updated 6 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆50Updated 3 months ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆15Updated 6 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆90Updated 3 months ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆73Updated 4 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆193Updated 4 years ago