We describe our ongoing research on systematically analysing what types of socially related attributes and behaviours can be estimated automatically in highly social and crowded situations. This is a challenging task because obtaining the true labels for social behaviours or attributes in practice is non-trivial. Here, individuals hang a sensing device around their neck that records their acceleration during a social event. We then devise models to estimate their social behaviour or attributes based on these measurements and systematically evaluate the feasibility of such a set-up. Since we only use a single triaxial accelerometer per person, our results are surprisingly accurate and suggest that further socially relevant information could ...
Recent technological advancements have enabled the miniaturization of electronics to a degree that p...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
In this paper, we present a unique collection of four data sets to study social behaviour. The data ...
In this paper, we estimate different types of social actions from a single body-worn accelerometer i...
In this paper, we estimate different types of social actions from a single body-worn accelerometer i...
This paper presents a novel investigation of how motion as measured with just a single wearable acce...
This paper presents a novel investigation of how motion as measured with just a single wearable acce...
Understanding human behaviour has sparked the minds of many throughout centuries. One intriguing asp...
\u3cp\u3eThis paper focuses on the automatic classification of self-Assessed personality traits from...
\u3cp\u3eIn this paper we propose the novel task of detecting groups of conversing people using only...
Understanding human behaviour in an automatic but also non-intrusive manner, constitutes an importan...
In the post year 2000 era the technologies that facilitate human communication have rapidly multipli...
Low-level sensors can provide surprisingly high-level information about social interactions. The goa...
This paper focuses on the automatic classification of self-assessed personality traits from the HEXA...
Social groups based on friendship or family relations are very common phenomena in human crowds and ...
Recent technological advancements have enabled the miniaturization of electronics to a degree that p...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
In this paper, we present a unique collection of four data sets to study social behaviour. The data ...
In this paper, we estimate different types of social actions from a single body-worn accelerometer i...
In this paper, we estimate different types of social actions from a single body-worn accelerometer i...
This paper presents a novel investigation of how motion as measured with just a single wearable acce...
This paper presents a novel investigation of how motion as measured with just a single wearable acce...
Understanding human behaviour has sparked the minds of many throughout centuries. One intriguing asp...
\u3cp\u3eThis paper focuses on the automatic classification of self-Assessed personality traits from...
\u3cp\u3eIn this paper we propose the novel task of detecting groups of conversing people using only...
Understanding human behaviour in an automatic but also non-intrusive manner, constitutes an importan...
In the post year 2000 era the technologies that facilitate human communication have rapidly multipli...
Low-level sensors can provide surprisingly high-level information about social interactions. The goa...
This paper focuses on the automatic classification of self-assessed personality traits from the HEXA...
Social groups based on friendship or family relations are very common phenomena in human crowds and ...
Recent technological advancements have enabled the miniaturization of electronics to a degree that p...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
In this paper, we present a unique collection of four data sets to study social behaviour. The data ...