Naturalistic recognition of activities and mood using wearable electronics
Automatic recognition of user context is essential for a variety of emerging applications, such
as context-dependent content delivery, telemonitoring of medical patients, or quantified life …
as context-dependent content delivery, telemonitoring of medical patients, or quantified life …
A wearable system for mood assessment considering smartphone features and data from mobile ECGs
Traditionally, mood is assessed by either considering physiological data or smartphones-
based self-reports. Physiological data is objective and continuous, but difficult to be …
based self-reports. Physiological data is objective and continuous, but difficult to be …
Modeling arousal phases in daily living using wearable sensors
M Kusserow, O Amft, G Tröster - IEEE Transactions on Affective …, 2012 - ieeexplore.ieee.org
In this work, we introduce methods for studying psychological arousal in naturalistic daily
living. We present an activity-aware arousal phase modeling approach that incorporates the …
living. We present an activity-aware arousal phase modeling approach that incorporates the …
Passive mobile sensing and psychological traits for large scale mood prediction
Experience sampling has long been the established method to sample people's mood in
order to assess their mental state. Smartphones start to be used as experience sampling …
order to assess their mental state. Smartphones start to be used as experience sampling …
How to use smartphones for less obtrusive ambulatory mood assessment and mood recognition
We present MoA 2, a context-aware smartphone app for the ambulatory assessment of
mood, tiredness and stress level. In principle, it has two features:(1) mood assessment and …
mood, tiredness and stress level. In principle, it has two features:(1) mood assessment and …
Emotionsense: An adaptive emotion recognition system based on wearable smart devices
With the recent surge of smart wearable devices, it is possible to obtain the physiological
and behavioral data of human beings in a more convenient and non-invasive manner …
and behavioral data of human beings in a more convenient and non-invasive manner …
Ocean: A new opportunistic computing model for wearable activity recognition
Activities of Daily Living (ADL) recognition through wearable devices is an emerging
research field. While, for many applications, recognition methods are faced with …
research field. While, for many applications, recognition methods are faced with …
Affective State Recognition with Convolutional Autoencoders
S Rovinska, N Khan - … Conference of the IEEE Engineering in …, 2022 - ieeexplore.ieee.org
The aim of this study was to create a robust generalizable model to classify person's
affective state based on physiological signals obtained using wearable sensor devices …
affective state based on physiological signals obtained using wearable sensor devices …
A hardware-assisted energy-efficient processing model for activity recognition using wearables
Wearables are being widely utilized in health and wellness applications, primarily due to the
recent advances in sensor and wireless communication, which enhance the promise of …
recent advances in sensor and wireless communication, which enhance the promise of …
Smart affect monitoring with wearables in the wild: An unobtrusive mood-aware emotion recognition system
Affective computing strives to recognize a person's affective state (eg, emotion, mood) based
on what can be observed. However, electroencephalogram (EEG) and video technologies …
on what can be observed. However, electroencephalogram (EEG) and video technologies …