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Background Results & Conclusions Acknowledgement Materials & Methods Future Work Aims / Objectives • A number of research studies have been carried out by medical research teams on the issue of hand and wrist injuries suffered by goalkeepers in soccer, particularly at underage levels. • The focus of this project is to develop a wearable hardware system to investigate the mechanical and physiological behaviour associated with goalkeeper when saving the football. • This project will involve the use of the developed system to gather data for analysis of the physiological processes involved in various goalkeeping activities. Matthew Towey Email: [email protected] Phone: 0879798927 Liam Kilmartin Email: [email protected] e Phone: 091 492749 Barry Broderick Email: • Design, build and test a compact Arduino based prototype sensing platform capable of recording accelerometer and FSR related data. • Platform must be wearable and have reasonable power consumption to allow for use for periods of over 30 minutes • Be remotely accessible from a PC for logging in a power efficient manner. • Integration of EMG electrode recording on to the platform. • Completion of a study and statistical analysis of results and determination of results from study. • Rectification of existing difficulties caused due to multiple interfaces. • Completion of two further studies: • Use of Emotiv EEG headset to complete a small group study to examine EEG activity relating to the process of goalkeepers catching the football. • Expansion of system to facilitate completion of further study involving examination of force impacts on goalkeepers during diving on various playing surfaces. Accelerometer and FSR Platform • Components: Arduino Uno, Bluetooth Shield, SD Card Shield, FSR, Accelerometer, Battery. EMG Platform • Components: Arduino Uno, EMG Shield, EMG Electrodes Pervasive sensing platform for the study of hand and wrist impact in soccer goalkeepers Matthew Towey Department of Electronic & Electrical Engineering National University of Ireland Galway, Ireland Setup: Connect to Shields and Accelerometer Enable FSR interrupt Loop: Check button for test state Test state: Read Accelerometer Data Send Data via Bluetooth Log Data to SD Cad FSR is triggered: Send timestamp via Bluetooth Log timestamp to SD Card Flowchart Setup: Connect to EMG Shield Loop: Sampling rate triggers a timer to send data Signals placed in buffer Sent over USB and displayed Flowchart Figure 1: Internal shot of A & FSR Platform Figure 2: Internal shot of EMG Platform Figure 3 : Android Debugging App Screenshot Figure 4: Glove with FSR Figure 5: Both Platforms attached in parallel. Figure 6: Screenshot of EMG Sample • EMG Platform displays EMG signal for catching a ball. • Platforms are lightweight wearable. Wireless communication via Bluetooth has been displayed via an Android debug app. • Power usage has not been quantified yet. Both Platforms contain sufficient room for additional batteries to be added for power supply. • Due to delays in the development of the system and setbacks, a study of different subjects has not been completed. • It is possible to quantify a goalkeepers reactions by EMG activation. • The development of the overall solution was broken into two separate platforms. This design decision was based on the different sampling frequencies required for EMG(256Hz) and acceleration(100Hz) calculation. The Arduino code been run is summarised in the flowcharts. Bluetooth and data logging where not developed for the EMG platform as calculation and display of the signal was handled in real-time by the ElecGuru software. • In Figure 5, the two systems are attached to a user simultaneously. This is only for the purpose of this poster. Calculation of an EMG signal would be corrupted by the wire carrying the accelerometer data. The accelerometer data may also be corrupted. • In Figure 6, the ElecGuru software displays a blue EMG signal. This is the generated signal from starting with the hands in a neutral position.
