DCU Expo 2023 Final Year Projects

44 54. ShamShazam This project is a web application that reads in a streamof audio input and outputs a list of the songs and artists played in that audio input. A user can also look at their history to see what songs have been previously listened to. This can be useful for companies to keep track of royalty fees, as well as for any users wishing to find out more about the songs they are listening to. Class Computer Applications Project Area Software Development, Web Application, Human-computer Interaction, Audio Processing Project Technology Python, React.js, Machine Learning Student Name(s) Georgina Scanlon  |  Rhea Varkey Email georgina.scanlon3@mail.dcu.ie   |  rhea.varkey2@mail.dcu.ie Supervisor Prof TomasWard 55.  Soft Pneumatic Actuators forWearable Assistive Garments This project investigates the use of soft pneumatic actuators to drive wearable assistive garments also known as a soft exoskeletons. It is based on a wearable assistive glove and it grants assistive motion and strength to those who lost partial mobility in closing their hand. The actuator used is aMckibben air muscle. This muscle works by shortening its length while increasing diameter when pressurised from an air compressor via control system. The idea with this artificial muscle is to replicate the flexor muscle in the forearm. As well as being functional and portable, this design is made to be comfortable, discrete and built fromaffordable parts andmaterials Class Mechatronic Engineering Project Area Arduino, Wearable_Technology, Rehabilitation Engineering Project Technology C/C++, Solidworks Student Name(s) HaithamElamin Email haitham.elamin2@mail.dcu.ie Supervisor Dr Shirley Coyle 56. Comparison in theMotion Tracking Capabilities between IMUSensors and iPhone Sensors This project compares the motion tracking capabilities between that of an Inertial Measurement Unit (IMU) and those housed in an iPhone 13. The application of the sensors is for use in competitive swimming to analyse the pathway of a swimmers’ dive. An analysis into the speed, distance and angle of entry of the dive is the intended outcome of the project. Class Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, Arduino, Data Analytics, Digital Signal Processing, Mechatronic Systems, Motion Analysis, Power Electronics, Robotics, Sensor Data, Sensor Technology, Simulation, Wearable Technology Project Technology C/C++, Excel/VB, Matlab, Python, Solidworks Student Name(s) Stephen Byrne Email stephen.byrne249@mail.dcu.ie Supervisor Dr AnneMorrissey