sensor-data

UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/

This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

Package for analyzing human motion data (e.g. PA, gait)

Display EFIS flight data or any type of sensor data on screen or AR glasses. Designed for Raspberry Pi and MacOS. Garmin G3x, MGL, Dynon, GRT, Stratux, Levil + more

Improving Human Activity Recognition through Self-training with Unlabeled Data

Companion servers for Sensor Stream App. Stream sensor data, audio and images from your phone to an open source server running on your PC/Raspberry Pi in real-time over your local network.

Companion servers in Node and Python for the PhonePi Sensor Streamer apps.

PySHRED: Package for Shallow Recurrent Decoding

Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."

Gateway application for forwarding Sensor Data and Sensor Events from sources including Serial, BLE, TCP/IP.

Large-scale time-series measurement data analytics on Apache Spark

Stop letting your rosbag data rot. Pandas-like analysis for robotics bag files with health checks, sync, ML export, semantic search, and WebSocket bridge.

A Python library for reading, writing and visualizing the OMEGA Format, targeted towards storing reference and perception data in the automotive context on an object list basis with a focus on an urban use case.

Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition using Window-based Data Segment"

A python package for analyzing environmental sensor's data

Package for preprocessing Paderborn Bearing dataset

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

End-to-end Machine Learning pipeline for wearable sensor data featuring preprocessing, feature engineering, PCA, FFT, outlier detection, and repetition counting for barbell exercises.

Self-Supervised Few-Shot Time-series Segmentation for Activity Recognition, TMC 2022