Alternatives and similar repositories for CNN_IMU:

Users that are interested in CNN_IMU are comparing it to the libraries listed below

• 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 6 years ago
• PoHsin-Lin / gait-parameters-analysis-LSTM
  Step event detection and stride length estimation based on leg-and-shoe-mounted EcoIMU and LSTM.
  ☆24Updated 6 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 5 years ago
• eruffaldi / imu_comparison_data
  Data and Code of the paper Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion
  ☆32Updated 7 years ago
• lingjuanlv / LSTM-CNN-model-for-HAR
  LSTM-CNN model for Human Activity Recognition
  ☆23Updated 6 years ago
• shamanez / IMU-PLOS_LSTM
  Using LSTM networks to train IMU data by PLOS - This is custom LSTM-RNN .
  ☆13Updated 6 years ago
• prateekgv / sawd_gcvs
  MATLAB implementation of gait cycle validation and segmentation using inertial sensors.
  ☆18Updated 3 years ago
• aiff22 / HAR
  ☆36Updated 8 years ago
• linkinpark213 / pytorch-action-recognition-toy
  A toy LSTM net for action recognition using IMU sensor data, implemented in PyTorch. For the Hand-on tutorial as a TA in NAIST Spring Sem…
  ☆10Updated 6 years ago
• drewanye / har-joint-model
  AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
  ☆29Updated 6 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
• JunqiZhao / Convolutional-LSTM-for-Wearable-IMUs
  Developing a Convolutional LSTM model for human posture recognition from wearable IMUs sensors
  ☆14Updated 4 years ago
• Hangwei12358 / IJCAI2019_DDNN
  Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".
  ☆16Updated 5 years ago
• isukrit / encodingHumanActivity
  Encoding human activity by considering salient sensors and time points.
  ☆40Updated 2 years ago
• AaltoVision / deep-speed-constrained-ins
  Codes for Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones
  ☆58Updated 2 years ago
• yolish / har-with-imu-transformer
  Intertial-based Human Activity Recognition with Transformers
  ☆73Updated 4 years ago
• romanchereshnev / HuGaDB
  Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…
  ☆95Updated 4 years ago
• ani8897 / Human-Activity-Recognition
  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
• Vitalinsh / Sleep-Analysis-with-accelerometer
  Detecting sleep/awake state using wrist-worn accelerometer data
  ☆11Updated 6 years ago
• crocodilegogogo / IF-ConvTransformer-UbiComp2022
  This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"
  ☆34Updated 3 weeks ago
• dapowan / LIMU-BERT-Public
  A lite BERT-like representation model for IMU sensor data
  ☆101Updated last year
• daehwa / Gait-Tracking-With-x-IMU-Python
  This is python version code of Gait_Tracking_with_x-imu by @xioTechnologies
  ☆99Updated 3 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
  DeepConvLSTM model for sensor-based human activity recognition in Pytorch
  ☆39Updated 5 years ago
• rfbr / PDR_with_Deep_Learning
  ☆46Updated 2 years ago
• utiasSTARS / pyshoe
  An open source foot-mounted INS accompanied by a comprehensive inertial dataset.
  ☆93Updated 3 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).
  ☆64Updated 2 years ago
• servomac / Human-Activity-Recognition
  Use a LSTM network to predict human activities from sensor signals collected from a smartphone
  ☆49Updated 2 years ago
• thesimonho / sensormotion
  Package for analyzing human motion data (e.g. PA, gait)
  ☆91Updated 6 months ago
• Takaklas / Indoor-Localization-WIth-IMU
  Pedestrian Dead Reckoning a.k.a. Indoor Localization using IMU (Inertial Measurement Unit)
  ☆41Updated 5 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆40Updated 7 years ago