Using sensors to study home activities
Understanding home activities is important in social research to study aspects of home life,
eg, energy-related practices and assisted living arrangements. Common approaches to …
eg, energy-related practices and assisted living arrangements. Common approaches to …
Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction
Activities of daily living (ADLs) relate to people's daily self-care activities, which reflect their
living habits and lifestyle. A prior study presented a neural network model called STADLART …
living habits and lifestyle. A prior study presented a neural network model called STADLART …
The PBC model: supporting positive behaviours in smart environments
Several behavioural problems exist in office environments, including resource use,
sedentary behaviour, cognitive/multitasking, and social media. These behavioural problems …
sedentary behaviour, cognitive/multitasking, and social media. These behavioural problems …
Embedding-level attention and multi-scale convolutional neural networks for behaviour modelling
Understanding human behaviour is a central task in intelligent environments. Understanding
what the user does and how she does it allows to build more reactive and smart …
what the user does and how she does it allows to build more reactive and smart …
Predicting occurrence time of daily living activities through time series analysis of smart home data
W Sasaki, M Fujiwara, M Fujimoto… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Recently, various smart home services such as smart air-conditioning, monitoring of
elderly/kids and energy-efficient appliance operations are emerging, thanks to technologies …
elderly/kids and energy-efficient appliance operations are emerging, thanks to technologies …
Adaptation of student behavioural routines during Covid-19: a multimodal approach
One population group that had to significantly adapt and change their behaviour during the
COVID-19 pandemic is students. While previous studies have extensively investigated the …
COVID-19 pandemic is students. While previous studies have extensively investigated the …
Behavioral modeling based on probabilistic finite automata: An empirical study
Imagine an agent that performs tasks according to different strategies. The goal of
Behavioral Recognition (BR) is to identify which of the available strategies is the one being …
Behavioral Recognition (BR) is to identify which of the available strategies is the one being …
Using Hidden Markov Models to build behavioural models to detect the onset of dementia
N AlBeiruti, K Al-Begain - 2014 Sixth International Conference …, 2014 - ieeexplore.ieee.org
Innovative methodologies to provide care for the elderly people in their homes form an
emerging and evolving field of research. Proactive care for Dementia is an important …
emerging and evolving field of research. Proactive care for Dementia is an important …
Energy considerations for continuous group activity recognition using mobile devices: The case of groupsense
Human activity recognition using mobile sensors is becoming increasingly important.
Scaling up from individuals to groups, that is, Group Activity Recognition (GAR), has …
Scaling up from individuals to groups, that is, Group Activity Recognition (GAR), has …
Iot-inspired monitoring framework for real-time stereotypic movement analysis
Physical activity recognition has become one of the prominent domain of research in the
field of smart healthcare. The identification of physical activities through wearable sensors …
field of smart healthcare. The identification of physical activities through wearable sensors …