Modeling behavior as mutual dependency between physiological signals and indoor location in large-scale wearable sensor study
Wearable sensors today can unobtrusively collect rich time-series of physiological states
and human movement patterns over a prolonged period. Gaining a better understanding of …
and human movement patterns over a prolonged period. Gaining a better understanding of …
Modeling behavioral consistency in large-scale wearable recordings of human bio-behavioral signals
T Feng, SS Narayanan - ICASSP 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Continuously-worn wearable sensors provide an unprecedented opportunity to
unobtrusively measure rich bio-behavioral time-series recordings in natural settings such as …
unobtrusively measure rich bio-behavioral time-series recordings in natural settings such as …
Having a bad day? detecting the impact of atypical events using wearable sensors
Life events can dramatically affect our psychological state and work performance. Stress, for
example, has been linked to professional dissatisfaction, increased anxiety, and workplace …
example, has been linked to professional dissatisfaction, increased anxiety, and workplace …
Learning behavioral representations from wearable sensors
Continuous collection of physiological data from wearable sensors enables temporal
characterization of individual behaviors. Understanding the relation between an individual's …
characterization of individual behaviors. Understanding the relation between an individual's …
Toward robust interpretable human movement pattern analysis in a workplace setting
Gaining a better understanding of how people move about and interact with their
environment is an important piece of understanding human behavior. Careful analysis of …
environment is an important piece of understanding human behavior. Careful analysis of …
Stress pattern recognition through wearable biosensors in the workplace: Experimental longitudinal study on the role of motion intensity
V Mozgovoy - 2019 6th Swiss Conference on Data Science …, 2019 - ieeexplore.ieee.org
Stress is a current issue in the workplace, manifesting itself through both psychological and
physiological reactions. Biosensors might improve stress monitoring in the workplace, when …
physiological reactions. Biosensors might improve stress monitoring in the workplace, when …
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring
The development of built environments has expanded its focus beyond sustainability to
health due to the potential to become a transformative health tool. Studies have shown that …
health due to the potential to become a transformative health tool. Studies have shown that …
Fusing ambient and mobile sensor features into a behaviorome for predicting clinical health scores
DJ Cook, M Schmitter-Edgecombe - IEEE Access, 2021 - ieeexplore.ieee.org
Advances in machine learning and low-cost, ubiquitous sensors offer a practical method for
understanding the predictive relationship between behavior and health. In this study, we …
understanding the predictive relationship between behavior and health. In this study, we …
A data analytics framework for physiological signals from wearable devices
A Bizzego - 2017 - iris.unitn.it
Wearable devices have emerged as the most innovative opportunity to enable acquisition
and quantification of physiological signals in real-world indoor or outdoor contexts …
and quantification of physiological signals in real-world indoor or outdoor contexts …
Automated detection of stressful conversations using wearable physiological and inertial sensors
Stressful conversation is a frequently occurring stressor in our daily life. Stressors not only
adversely affect our physical and mental health but also our relationships with family …
adversely affect our physical and mental health but also our relationships with family …