Recognizing Activities of Daily Living using Multi-sensor Smart Glasses

0Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Continuous and automatic monitoring of an individual's physical activity using wearable devices provides valuable insights into their daily habits and patterns. This information can be used to promote healthier lifestyles, prevent chronic diseases, and improve overall well-being. Smart glasses are an emerging technology that can be worn comfortably and continuously. Their wearable nature and hands-free operation make them well suited for long-term monitoring of physical activity and other real-world applications. To this end, we investigated the ability of the multi-sensor OCOsense™ smart glasses to recognize everyday activities. We evaluated three end-to-end deep learning architectures that showed promising results when working with IMU (accelerometer, gyroscope, and magnetometer) data in the past. The data used in the experiments was collected from 18 participants who performed pre-defined activities while wearing the glasses. The best architecture achieved an F1 score of 0.81, demonstrating its ability to effectively recognize activities, with the most problematic categories being standing vs. sitting.

Cite

CITATION STYLE

APA

Stankoski, S., Sazdov, B., Broulidakis, J., Kiprijanovska, I., Sofronievski, B., Cox, S., … Gjoreski, H. (2023). Recognizing Activities of Daily Living using Multi-sensor Smart Glasses. In 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings (pp. 397–402). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.23919/MIPRO57284.2023.10159701

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free