loader

Human Activity Recognition

The PRECIOUS AI-based sensory framework represents a pioneering advancement in the field of human activity recognition. This cutting-edge system incorporates a sophisticated dual-algorithmic approach, harnessing data from an inertial measurement unit sensor and an RGB camera. By leveraging acceleration and angular data, PRECIOUS has meticulously crafted conventional Machine Learning and Deep Learning algorithms, which have demonstrated remarkable performance that eclipses prevailing state-of-the-art methods. In addition to these achievements, the framework further capitalizes on visual information by utilizing frames captured from a first-person camera to construct a Convolutional Neural Network. This holistic integration of sensory data from multiple sources empowers PRECIOUS to excel in the intricate task of recognizing diverse human activities, establishing itself as a formidable solution with immense potential for applications across healthcare, robotics, and beyond. This innovation represents a pivotal step towards enhancing our understanding of human behavior and its applications in various domains.

Boucharas, D., Androutsos, C., Tachos, N.S., Tripolitit, E.E., Manousos, D., Skaramagkas, V., Ktistakis, E., Tsiknakis, M. and Fotiadis, D.I., 2021, October. Exploring Artificial Intelligence methods for recognizing human activities in real time by exploiting inertial sensors. In 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 1-4). IEEE.