Alternatives and similar repositories for pytorch-action-recognition-toy:

Users that are interested in pytorch-action-recognition-toy are comparing it to the libraries listed below

• PoHsin-Lin / gait-parameters-analysis-LSTM
  Step event detection and stride length estimation based on leg-and-shoe-mounted EcoIMU and LSTM.
  ☆25Updated 6 years ago
• wilfer9008 / CNN_IMU
  Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …
  ☆32Updated 5 years ago
• cutting-edge-visionaries / Human-Activity-Recognition-ML
  Using Machine Learning to determine Human Activity using data from 6 d.o.f. IMU sensor.
  ☆19Updated 4 years ago
• jidhu-mohan / Activity-Detection-using-IMU-sensor
  User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…
  ☆49Updated 5 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
  DeepConvLSTM model for sensor-based human activity recognition in Pytorch
  ☆39Updated 5 years ago
• JunqiZhao / Convolutional-LSTM-for-Wearable-IMUs
  Developing a Convolutional LSTM model for human posture recognition from wearable IMUs sensors
  ☆14Updated 4 years ago
• yolish / har-with-imu-transformer
  Intertial-based Human Activity Recognition with Transformers
  ☆71Updated 3 years ago
• yashbhagat3 / Human-Activity-Recognition-using-LSTMs-Opportunity-UCI-Dataset-
  ☆8Updated 4 years ago
• crocodilegogogo / IF-ConvTransformer-UbiComp2022
  This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"
  ☆33Updated last week
• Hangwei12358 / IJCAI2019_DDNN
  Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".
  ☆16Updated 5 years ago
• prateekgv / sawd_gcvs
  MATLAB implementation of gait cycle validation and segmentation using inertial sensors.
  ☆18Updated 3 years ago
• Chaolei98 / Baseline-with-HAR-datasets
  3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…
  ☆52Updated 2 years ago
• jchiang2 / Human-Activity-Recognition
  Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.
  ☆58Updated 5 years ago
• arturjordao / WearableSensorData
  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
• takumiw / Deep-Learning-for-Human-Activity-Recognition
  Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
  ☆63Updated 2 years ago
• mariusbock / dl-for-har
  Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…
  ☆51Updated this week
• esansano / dl-for-har-comparison
  Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
  ☆17Updated last year
• dapowan / LIMU-BERT-Public
  A lite BERT-like representation model for IMU sensor data
  ☆98Updated last year
• STRCWearlab / DeepConvLSTM_py3
  DeepConvLSTM implemented in python 3 and pytorch
  ☆26Updated 3 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 6 years ago
• saif-mahmud / self-attention-HAR
  [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
  ☆48Updated 3 years ago
• getalp / Lightweight-Transformer-Models-For-HAR-on-Mobile-Devices
  Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…
  ☆57Updated 3 months ago
• tengqi159 / human-activity-recognition
  The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition
  ☆20Updated 4 years ago
• abduallahmohamed / HAR-GCNN
  Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
  ☆13Updated 2 years ago
• zhangzhao156 / CNN-for-HAR-on-WISDM-Dataset
  CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
  ☆20Updated 6 years ago
• drewanye / har-joint-model
  AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
  ☆28Updated 6 years ago
• isukrit / encodingHumanActivity
  Encoding human activity by considering salient sensors and time points.
  ☆40Updated last year
• DigitalBiomarkerDiscoveryPipeline / Human-Activity-Recognition
  Multimodal human activity recognition using wrist-worn wearable sensors.
  ☆46Updated 4 years ago
• yujmo / CZU_MHAD
  CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
  ☆22Updated 2 years ago
• AdelaideAuto-IDLab / Attend-And-Discriminate
  Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
  ☆23Updated 4 years ago