Automatic environmental sound classification (ESC) is prominent in various fields like
robotics, security, and crime investigation. In this paper, optimum allocation sampling (OAS) …

Determining the location from environmental sounds is crucial for digital forensics.
Therefore, it is possible to predict about the sounds obtained using the automatic …

This work presents a human activity recognition (HAR) model based on audio features. The
use of sound as an information source for HAR models represents a challenge because …

The identification of Activities of Daily Living (ADL) is intrinsic with the user's environment
recognition. This detection can be executed through standard sensors present in every-day …

The detection and classification of underwater targets such as fish are one of the major tasks
of the underwater acoustic signal processing and are very important for scientific, fisheries …

Early onset ataxia represents a group of heterogeneous neurological conditions typically
characterized by motor disability. Speech problems are one of the main core features of …

Smart cities are one of the emerging domains for computational applications. Many of these
applications may benefit from the ubiquitous computing paradigm to provide better services …

Children's healthcare is a relevant issue, especially the prevention of domestic accidents,
since it has even been defined as a global health problem. Children's activity classification …

Human Activity Recognition (HAR) is one of the main subjects of study in the areas of
computer vision and machine learning due to the great benefits that can be achieved …

Children activity recognition (CAR) is a subject for which numerous works have been
developed in recent years, most of them focused on monitoring and safety. Commonly, these …