Human activity recognition (HAR) is currently recognized as a key element of a more
general framework designed to perform continuous monitoring of human behaviors in the …

Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the
scientific community. Given the low cost, ease of use and high accuracy of the sensors from …

In recent years, the emerging framework of the Internet of Things has been leading the
technological landscape in a number of different fields and applications, from autonomous …

This article presents a novel semisupervised learning method for wearable sensors to
recognize human activities. The proposed method is termed a tri-very fast decision tree …

In the industrial environment, collecting and processing signal acquired from sensors is a
frequent activity in smart systems industry. Many problems occur when the signal is …

The research on human activity recognition has provided novel solutions to many
applications like health care, sports, and user profiling. Considering the complex nature of …

In the latest years we have been witnessing an evolution of the technological framework
thanks to the Internet of Things paradigm, which is enabling innovative smart services for …

In this article, we discuss the threat to privacy that this passive data collection creates, along
with opportunities to mitigate this risk. Furthermore, we argue that the use case of BWCs at …

In this paper, we propose an end-to-end deep learning model for human activity recognition.
Our model is equipped with sparse learning, which absorbs a greater number of classes …

This work presents an innovative solution utilizing a Raspberry Pi detection system to
identify any defects on metallic surfaces in real-time. Manual inspection has several …