A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges
Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …
behaviors are very good predictors of their needs, and hence technology companies can …
Automatic human posture estimation for sport activity recognition with robust body parts detection and entropy markov model
Automated human posture estimation (A-HPE) systems need delicate methods for detecting
body parts and selecting cues based on marker-less sensors to effectively recognize …
body parts and selecting cues based on marker-less sensors to effectively recognize …
[PDF][PDF] IoMT-enabled fusion-based model to predict posture for smart healthcare systems
Smart healthcare applications depend on data from wearable sensors (WSs) mounted on a
patient's body for frequent monitoring information. Healthcare systems depend on multi-level …
patient's body for frequent monitoring information. Healthcare systems depend on multi-level …
Comparison of different sets of features for human activity recognition by wearable sensors
Human Activity Recognition (HAR) refers to an emerging area of interest for medical,
military, and security applications. However, the identification of the features to be used for …
military, and security applications. However, the identification of the features to be used for …
Context-aware human activity recognition (CAHAR) in-the-Wild using smartphone accelerometer
Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
Leveraging active learning and conditional mutual information to minimize data annotation in human activity recognition
A difficulty in human activity recognition (HAR) with wearable sensors is the acquisition of
large amounts of annotated data for training models using supervised learning approaches …
large amounts of annotated data for training models using supervised learning approaches …
Human behavior recognition model based on feature and classifier selection
G Gao, Z Li, Z Huan, Y Chen, J Liang, B Zhou, C Dong - Sensors, 2021 - mdpi.com
With the rapid development of the computer and sensor field, inertial sensor data have been
widely used in human activity recognition. At present, most relevant studies divide human …
widely used in human activity recognition. At present, most relevant studies divide human …
Opportunistic sensing for inferring in-the-wild human contexts based on activity pattern recognition using smart computing
M Ehatisham-ul-Haq, MA Azam - Future Generation Computer Systems, 2020 - Elsevier
In recent years, with the evolution of internet-of-things and smart sensing technologies,
sensor-based physical activity recognition has gained substantial prominence, and …
sensor-based physical activity recognition has gained substantial prominence, and …
Daily living activity recognition in-the-wild: Modeling and inferring activity-aware human contexts
Advancement in smart sensing and computing technologies has provided a dynamic
opportunity to develop intelligent systems for human activity monitoring and thus assisted …
opportunity to develop intelligent systems for human activity monitoring and thus assisted …