Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy

G Diraco, G Rescio, A Caroppo, A Manni, A Leone - Sensors, 2023 - mdpi.com
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

A deep learning approach for parkinson's disease severity assessment

T Aşuroğlu, H Oğul - Health and Technology, 2022 - Springer
Abstract Purpose Parkinson's Disease comes on top among neurodegenerative diseases
affecting 10 million worldwide. To detect Parkinson's Disease in a prior state, gait analysis is …

Recognizing hand-based micro activities using wrist-worn inertial sensors: a zero-shot learning approach

F Al Machot, H Ullah, F Demrozi - … Dedicated to Tiziana Margaria on the …, 2024 - Springer
Zero-shot learning (ZSL) is a machine learning paradigm that enables models to recognize
and classify data from classes they have not encountered during training. This approach is …

Complex human activity recognition using a local weighted approach

T Aşuroğlu - IEEE Access, 2022 - ieeexplore.ieee.org
Due to the life expectancy increase, there will be a workforce shortage in elderly care sector
in forthcoming years. Ambient Assisted Living (AAL) systems can cope with this issue. A …

An enhanced subject-independent approach for hand-based micro activities recognition

F Demrozi, F Al Machot - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) is crucial in various fields, including healthcare, assistive
technologies, and human-computer interaction. Recognizing hand-based micro activities …

[HTML][HTML] Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices

L Bigelli, C Contoli, V Freschi, E Lattanzi - Internet of Things, 2024 - Elsevier
Human activity recognition is increasingly recognized as a key task in many applications.
However, gathering data from the variety of sensors commonly available on end devices …

Badminton video action recognition based on time network

J Zhi, Z Sun, R Zhang, Z Zhao - Journal of Computational …, 2023 - content.iospress.com
With the continuous development of artificial intelligence research, computer vision research
has shifted from traditional “feature engineering”-based methods to deep learning-based …