Internet of Things (IoT) based activity recognition strategies in smart homes: A review
A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …
sensors embedded in consumer appliances, connected via sensing technologies such as …
Mobile edge computing enabled 5G health monitoring for Internet of medical things: A decentralized game theoretic approach
The prompt evolution of Internet of Medical Things (IoMT) promotes pervasive in-home
health monitoring networks. However, excessive requirements of patients result in …
health monitoring networks. However, excessive requirements of patients result in …
Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
Artificial intelligence internet of things for the elderly: From assisted living to health-care monitoring
An aging population is increasingly prevalent in both developed and develo** countries,
raising a series of social challenges and economic burdens. In particular, more elderly …
raising a series of social challenges and economic burdens. In particular, more elderly …
Selective encryption on ECG data in body sensor network based on supervised machine learning
Abstract Body Sensor Networks (BSNs) are develo** rapidly in recent years as it
combines the Internet-of-Things (IoT) and data analytic techniques for building a remote …
combines the Internet-of-Things (IoT) and data analytic techniques for building a remote …
Detection of sitting posture using hierarchical image composition and deep learning
Human posture detection allows the capture of the kinematic parameters of the human body,
which is important for many applications, such as assisted living, healthcare, physical …
which is important for many applications, such as assisted living, healthcare, physical …
SmartWall: Novel RFID-enabled ambient human activity recognition using machine learning for unobtrusive health monitoring
Human activity recognition (HAR) from sensor readings has proved to be an effective
approach in pervasive computing for smart healthcare. Recent approaches in ambient …
approach in pervasive computing for smart healthcare. Recent approaches in ambient …
Human activity recognition based on dynamic active learning
Activity of daily living is an important indicator of the health status and functional capabilities
of an individual. Activity recognition, which aims at understanding the behavioral patterns of …
of an individual. Activity recognition, which aims at understanding the behavioral patterns of …
CSI-based location-independent human activity recognition using feature fusion
Y Zhang, Q Liu, Y Wang, G Yu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Channel state information (CSI)-based human activity recognition (HAR) has important
application prospects, such as smart homes, medical monitoring, and public security. Due to …
application prospects, such as smart homes, medical monitoring, and public security. Due to …
[HTML][HTML] Human activity classification using deep learning based on 3D motion feature
Human activity classification is needed to support various fields. The health sector, for
example, requires the ability to monitor the activities of patients, the elderly, or people with …
example, requires the ability to monitor the activities of patients, the elderly, or people with …