Hierarchical classification for constrained IoT devices: A case study on human activity recognition
The massive number of Internet-of-Things (IoT) devices generates a hard-to-manage
volume of data. Cloud-centric processing approaches for the IoT data suffer from high and …
volume of data. Cloud-centric processing approaches for the IoT data suffer from high and …
Wearable computing for Internet of Things: A discriminant approach for human activity recognition
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …
of its key technologies, the concept of Internet of Things has been encouraged and extended …
A low-cost real-time IoT human activity recognition system based on wearable sensor and the supervised learning algorithms
Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …
of health conditions. Among approaches of activity recognition systems were researched …
Personalized federated learning for intelligent IoT applications: A cloud-edge based framework
Internet of Things (IoT) have widely penetrated in different aspects of modern life and many
intelligent IoT services and applications are emerging. Recently, federated learning is …
intelligent IoT services and applications are emerging. Recently, federated learning is …
Toward privacy in IoT mobile devices for activity recognition
Recent advances in wireless sensors for personal healthcare allow to recognise human real-
time activities with mobile devices. While the analysis of those datastream can have many …
time activities with mobile devices. While the analysis of those datastream can have many …
Optimizing computational resources for edge intelligence through model cascade strategies
O Gómez-Carmona, D Casado-Mansilla… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
As the number of interconnected devices increases and more artificial intelligence (AI)
applications upon the Internet of Things (IoT) start to flourish, so does the environmental cost …
applications upon the Internet of Things (IoT) start to flourish, so does the environmental cost …
Wearable-based human activity recognition using an iot approach
This paper presents a novel system based on the Internet of Things (IoT) to Human Activity
Recognition (HAR) by monitoring vital signs remotely. We use machine learning algorithms …
Recognition (HAR) by monitoring vital signs remotely. We use machine learning algorithms …
Efficient human activity recognition using a single wearable sensor
A reliable recognition of human activities using IoT devices (eg, on-body wearable sensors)
enables various applications, such as fitness tracking, bad habit detecting, healthcare …
enables various applications, such as fitness tracking, bad habit detecting, healthcare …
[HTML][HTML] Enhancing human activity recognition using features reduction in iot edge and azure cloud
Abstract The Internet of Things (IoT), cloud computing, and machine learning opened an
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
Exploring the computational cost of machine learning at the edge for human-centric Internet of Things
O Gómez-Carmona, D Casado-Mansilla… - Future Generation …, 2020 - Elsevier
In response to users' demand for privacy, trust and control over their data, executing
machine learning tasks at the edge of the system has the potential to make the Internet of …
machine learning tasks at the edge of the system has the potential to make the Internet of …