Road transport is the most widely used means of transportation around the world. With this high use of road transport, the safety of travellers’ becomes the prime concern for any governing authority. While some safety concerns arise from driver errors and environmental factors, most cases are a result of poor maintenance of these roads. Potholes…

The goal of this project is to exemplify how is possible automatically recognize human activities using a few sensors

This Step Counter app is an Android application that counts the number of steps taken by the user using the step counting sensor on their device. The app features a clean user interface with a step count display, a chronometer, a progress bar, and a goal tracker.

A machine learning-based application for user action recognition using smartphone sensors, showcasing data analysis and predictive modeling in context-sensitive systems.

The initial version of the data collection tool is capable of capturing real-time gyro and accelerometer sensor data from a mobile device while specific letters are displayed on the screen. These data points are stored in an SQLite database with a Django-based backend.

Record and save video, showing gyroscope data 📱.

Displaying mobile sensor readings using Flutter