Recent years have provided us with unprecedented access to a wide range of inexpensive sensing, aggregation and communication technologies that can transform society through provision of access to data relating to human behaviour and performance in health and sport. However, this ever-advancing sensor web needs to be carefully matched to relevant data analytics and domain expertise to unlock the inherent value in the complex datasets that it produces.
This research strand brings together expertise from life and clinical sciences, material science, computer science, and biomedical engineering to enhance the application of the sensor web to challenges in connected health and sport. Whether dealing with chronic disease or performance enhancement in elite sport, a connected ecosystem is dependent on an efficient and unobtrusive approach to sensing, sharing and analyzing data to facilitate timely delivery of accurate information to all stakeholders in the process.
In this strand of the Insight Centre for Data Analytics, a research centre spanning Dublin City University, NUI Galway, University College Cork, University College Dublin and other partner institutions, we address fundamental research activities related to optimizing the sensing, measurement and understanding of human behaviour and performance, and the implementation of feedback strategies that are designed to enhance it. A further aim is to contribute to the expansion of sensing capabilities of the sensor web through development and validation of novel sensing technologies.
As part of our research, the personal sensing team in University College Dublin also conduct regular structured evaluations of health and wellness technology which are currently available on the market, with the view to keeping up-to-date with recent advances in the field, as well as ensuring that the technology which we may implement in our research is fit-for-purpose.
Over the coming months, we will be making our objective and structured reviews, conducted in accordance with the evaluation framework published in Nature Digital Medicine (Caulfield et al., 2019), available online through this blog post.
You can also follow us on twitter: @personalsensing, or contact us through this blog.
Visit the Insight Centre webpage for more details on what we do
Caulfield, B., Reginatto, B. and Slevin, P., 2019. Not all sensors are created equal: a framework for evaluating human performance measurement technologies. npj Digital Medicine, 2(1), p.7.
Personal Sensing 