Measuring Mood with Wearable Technology

The purpose of this PhD is to seek to find an objective way of measuring trends in mood over a period of time, in such a way that it doesn’t interfere with daily life or influence the measure itself. The hypothesis is that by prototyping novel forms of wearable technology, to gather and classify data about posture and movement from the upper body, that mood may be predicted from this data. Laban Movement Analysis will form the basis of the interpretation of posture and movement data into mood data. Such a technology could present a viable alternative to mood measurement by questionnaire, potentially improving the outcomes for the long-term management of mental health conditions by helping the wearer to reflect upon trends in their mood and consider how they are affected by different interventions.

This author is supported by the Horizon Centre for Doctoral Training at the University of Nottingham (RCUK Grant No. EP/L015463/1) and Nottingham Biomedical Research Centre (Mental Health Theme).