Potential of a smartphone as a stress-free sensor of daily human behaviour

Abstract

Behaviour is one of the most powerful objective signals that connotes psychological functions regulated by neuronal network systems. This study searched for simple behaviours using smartphone sensors with three axes for measuring acceleration, angular speed and direction. We used quantitative analytic methodology of pattern recognition for work contexts, individual workers and seasonal effects in our own longitudinally recorded data. Our 13 laboratory members were involved in the care of common marmosets and domestic chicks, which lived in separate rooms. They attached a smartphone to their front waist-belts during feeding and cleaning in five care tasks. Behavioural characteristics such as speed, acceleration and azimuth, pitch, and roll angles were monitored. Afterwards, participants noted subjective scores of warmth sensation and work efficiency. The multivariate time series behavioral data were characterized by the subjective scores and environmental factors such as room temperature, season, and humidity, using the linear mixed model. In contrast to high-precision but stress-inducing sensors, the mobile sensors measuring daily behaviours allowed us to quantify the effects of the psychological states and environmental factors on the behavioural traits.

Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets

“…Although the behavioral alterations in our study were apparent and easily detected via visual inspection (Movie S2), objective quantification is critical for reproducibility and deep understanding of the behavioral consequences of chemogenetic manipulation. In particular, the posture of animals -a series of movements of the major body parts -reflects both motor function and their internal state such as emotion and intention (40), (41), (42), (43), (44), (45). Conventional systems available for marmosets focus on simple macroscale parameters (e.g., circadian activity rhythms (46)) or a few micro behavioral parameters (e.g., eye and face orientation (47)).…”

Understanding autism and other neurodevelopmental disorders through experimental translational neurobehavioral models

“…This is particularly important because early neural development represents a critical window for maximizing the success of therapeutic intervention. Finally, the development of video-tracking and other behavior-recording methods (e.g., those utilizing smart phones (Mimura et al, 2015)) to study older children and adults further fosters NDD research and extraction of novel behavioural biomarkers (Fig. 2F).…”

Inexpensive Home Infrared Living/Environment Sensor with Regional Thermal Information for Infant Physical and Psychological Development

“…Following our previously published methods (domestic chicks: [ 6 , 21 , 22 , 40 , 41 , 42 , 43 ]; common marmosets [ 6 , 7 , 8 , 9 , 21 , 33 , 34 ] and humans [ 6 , 21 , 44 , 45 ]), we then used principal component analysis (PCA) to infer the complex developmental mechanisms relating our obtained multiple variables including behavioral, physiological, biomolecular and psychological factors. The light-dark or before-after feeding differences of each principal component (PC) score were additionally analyzed by two-way ANOVA followed by Tukey’s HSD, as described above.…”