Human behavior pattern recognition (BPR) from accelerometer signals is a challenging
problem due to variations in signal durations of different behaviors. Analysis of human …

Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

The current generation of portable mobile devices incorporates various types of sensors that
open up new areas for the analysis of human behavior. In this paper, we propose a method …

The purpose of activity recognition is to identify activities through a series of observations of
the experimenter's behavior and the environmental conditions. In this study, through feature …

Gesture formation, a pre-processing step, has its importance when variations in patterns,
scale, and speed come into play. Self co-articulations are intentional movements performed …

Image processing is used effectively in the medical field because of the convenience it
brings to human life. Incorrect data which obtained during image processing operations in …

This research investigates the viability of leveraging Machine Learning (ML) algorithms to
develop gesture recognition systems that may benefit people who experience involuntary …

Effective finger writing underpins semantic text input task for virtual reality applications. We
demonstrate WiWrite, a novel finger writing system that leverages the ubiquitous wireless …

Abstract Despite various Inertial Measurement Unit (IMU) applications and their
technological advances, the process of motion segmentation performed by accelerometers …

Recent change in evaluation criteria from accuracy alone to trade‐off with time delay has
inspired multivariate energy‐based approaches in motion segmentation using acceleration …