High-bandwidth intelligent sensor data processing on embedded hardware

Lead Research Organisation: Queen Mary, University of London
Department Name: Sch of Electronic Eng & Computer Science

Abstract

Musical interaction places strong requirements on real-time computing systems, including strict specifications on latency, reliability and I/O bandwidth. Advances in computing power over the past decade have meant that tasks that once required high-end workstations are not computationally feasible on mobile and embedded hardware. However, I/O architectures have not always kept up with advances in core computation speed.
This project aims to develop infrastructure for intelligent signal processing applications, where information is extracted from high-bandwidth sensor data. The challenge will be, given a fixed total I/O bandwidth on an embedded device, how to maximise the salience of information sampled from multiple simultaneous sources, and how to synchronise data from external sources that might be clocked independently. The project aims to produce general architectural principles specifically suited to real-time interactive systems on embedded hardware alongside specific demonstrators that can be used to evaluate performance from both technical and human-centred perspectives.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022694/1 01/07/2019 31/12/2027
2265930 Studentship EP/S022694/1 23/09/2019 30/12/2023 Adan L. Benito Temprano