It can detect the human activity only from smartphone sensor data.
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Updated
Mar 15, 2017 - Python
It can detect the human activity only from smartphone sensor data.
Using Human Action Recognition to evaluate dance movements such as valse or tango from sensor data generated by iPhones
For preprocessing empatica e4 data for analysis
Simple I/O Scripts, python helper classes to simplify your automation logic.
An implementation of reliable, fault-tolerant and high speed system consisting multi-devices like sensors and receivers (consumers and data processing). Makes use of lab streaming layer, MQTT, and HAProxy.
A script to accept an input data file of lidar sensor reading and plot all ends points in the world frame
Deconvolution of the growth law equation. Code and replication data for https://doi.org/10.5194/gi-11-293-2022
Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
Management of local air quality measurements with low cost sensors in Potsdam (Germany).
Collect and store environment data from the sense hat sensor connected to a reComputer J1010 single-board computer.
Copycats are modules that produce data and act like specific IoT devices.
Micro-climatic modelling project designed around a network of different sensors.
visualize the orientation of an IMU connected to your laptop
This repository aims to give a tool to observe an ego vehicle's sensor inside the CARLA simulator. This was done to gain knowledge of how to deal with sensors
Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-data Streams
Stay informed on air quality with this simple bot, which posts real-time updates from a configurable sensor on the https://sensor.community network to Twitter and Mastodon. See it in action by following #feinstaub and #cannstatt on https://mastodon.online/@aschuma or https://twitter.com/twaschuma
역할 : 데이터 가공 및 Projection 후 gt_data 추출, 목적 : 이미지와 LiDAR 데이터가 들어있는 bagfile에서 이미지 데이터에 대한 monocular depth estimation을 진행한 후, LiDAR 데이터로 estimated depth를 평가하는 것.
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