Shane Halloran is a PhD student at the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data at Newcastle University. He previously received a B.Sc. (Hons) in Financial Mathematics and Economics from the National University of Ireland, Galway.
His PhD topic is Learning a Lexicon of Human Movements, examining human movement recognition from large scale accelerometer data recorded with body-worn sensors.
Shane is aiming develop new algorithms for wrist-worn sensors (similar to Fitbit) to recognise complex physical activities by utilising deep learning methods. These would have applications in assistive technology and healthcare, for example measuring problematic movements in patients with gait impairments.
Find our more about Shane and his research interests by watching his research videos: https://www.youtube.com/watch?v=D0UZnSFHpRw&list=PLH-UxM-Y15-LOcgvdHhavJbA1v7TZmFd8&index=13
N. Y. Hammerla, S. Halloran, and T. Ploetz, “Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables,” IJCAI Int. Jt. Conf. Artif. Intell., 2016.
Credit to Thomas Jackson Photography and John Hill for the research videos.