Project Abstract

The proposed project looks to develop a wearable device prototype for detecting motion and movement, specifically, targeting falls in high-risk professions. A Raspberry Pi device will be used, as it contains both a gyroscope and an accelerometer. The objectives of the project are to collect data from both sensors, as well as incorporating a pre-defined algorithm to provide detailed angular displacement along the x, y, and z axes. With real-world testing and a user-friendly design, the project aims to connect wearable technology and high-risk professions, contributing to improved workplace safety.The project hopes to be able to develop a wearable device prototype that is effective at detecting motion and movement, focusing on identifying falls in high-risk professions. The project looks to collect accurate and reliable data from the accelerometer and gyroscope sensors of the Raspberry Pi. The project hopes to confirm that the pre-defined algorithm was effective in detecting angular displacement along the x, y, and z axes. The success of the project will mean establishing a practical solution to workplace safety through the use of wearable technology in high-risk environments.

Keywords: Robotics, Software Engineering, HCI

 Conference Details

Session: Presentation Stream 25 at Presentation Slot 8

Location: GH049 at Wednesday 8th 13:30 – 17:00

Markers: Megan Venn-Wycherley, Fernando Maestre Avila

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work