[HTML][HTML] Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
U Bermejo, A Almeida, A Bilbao-Jayo… - Expert Systems with …, 2021 - Elsevier
Human activity recognition systems are essential to enable many assistive applications.
Those systems can be sensor-based or vision-based. When sensor-based systems are …
Those systems can be sensor-based or vision-based. When sensor-based systems are …
Enhancing activity recognition using CPD-based activity segmentation
S Aminikhanghahi, DJ Cook - Pervasive and Mobile Computing, 2019 - Elsevier
Segmenting behavior-based sensor data and recognizing the activity that the data
represents are vital steps in all applications of human activity learning such as health …
represents are vital steps in all applications of human activity learning such as health …
Online change point detection in application with transition-aware activity recognition
Transition-aware activity recognition is an inherent component of online health monitoring
and ambient assisted living. An explosion of technology breakthroughs in wireless sensor …
and ambient assisted living. An explosion of technology breakthroughs in wireless sensor …
Using change point detection to automate daily activity segmentation
S Aminikhanghahi, DJ Cook - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Real time detection of transitions between activities based on sensor data is a valuable but
somewhat untapped challenge. Detecting these transitions is useful for activity …
somewhat untapped challenge. Detecting these transitions is useful for activity …
[HTML][HTML] A heterogeneous ensemble approach for activity recognition with integration of change point-based data segmentation
One of the main topics of Smart Home (SH) research is the recognition of activities
performed by its inhabitants, which is considered to be one of the bases to foster new …
performed by its inhabitants, which is considered to be one of the bases to foster new …
Segmenting sensor data for activity monitoring in smart environments
X Hong, CD Nugent - Personal and ubiquitous computing, 2013 - Springer
Within a smart environment, sensors have the ability to perceive changes of the environment
itself and can therefore be used to infer high-level information such as activity behaviours …
itself and can therefore be used to infer high-level information such as activity behaviours …
Automatic sensor data stream segmentation for real-time activity prediction in smart spaces
H Cho, J An, I Hong, Y Lee - Proceedings of the 2015 Workshop on IoT …, 2015 - dl.acm.org
Recently, human activity recognition and prediction have become important functionalities in
ambient-assisted living. Activity inference algorithms detect what task a human undertakes …
ambient-assisted living. Activity inference algorithms detect what task a human undertakes …
Information gain-based metric for recognizing transitions in human activities
This paper aims to observe and recognize transition times, when human activities change.
No generic method has been proposed for extracting transition times at different levels of …
No generic method has been proposed for extracting transition times at different levels of …
Transition-aware detection of modes of locomotion and transportation through hierarchical segmentation
Recognizing human daily activities with motion sensors data, specifically, modes of
locomotion and transportation provides important contextual information that enhances the …
locomotion and transportation provides important contextual information that enhances the …
Change point detection via synthetic signals
Detecting change points in time series data is a widely acknowledged challenge with
diverse applications, in which the data obtained from measured values is often …
diverse applications, in which the data obtained from measured values is often …