Deep learning empowered wearable-based behavior recognition for search and rescue dogs

P Kasnesis, V Doulgerakis, D Uzunidis, DG Kogias… - Sensors, 2022‏ - mdpi.com
Search and Rescue (SaR) dogs are important assets in the hands of first responders, as
they have the ability to locate the victim even in cases where the vision and or the sound is …

On the benefits of deep convolutional neural networks on animal activity recognition

E Bocaj, D Uzunidis, P Kasnesis… - … Conference on Smart …, 2020‏ - ieeexplore.ieee.org
Monitoring the behavior of animals (eg, eating habits) can lead to conclusions regarding
animal's welfare. To achieve this, remote monitoring of animal activity with the aid of inertial …

Modality-wise relational reasoning for one-shot sensor-based activity recognition

P Kasnesis, C Chatzigeorgiou, CZ Patrikakis… - Pattern Recognition …, 2021‏ - Elsevier
Deep learning concepts have been successfully transferred from the computer vision task to
that of wearable human activity recognition (HAR) over the last few years. However, deep …

[HTML][HTML] Gesture-based user interface for vehicle on-board system: a questionnaire and research approach

K Małecki, A Nowosielski, M Kowalicki - Applied Sciences, 2020‏ - mdpi.com
Touchless interaction with electronic devices using gestures is gaining popularity and along
with speech-based communication offers their users natural and intuitive control methods …

Morse: Deep learning-based arm gesture recognition for search and rescue operations

P Kasnesis, C Chatzigeorgiou… - 2022 IEEE 8th World …, 2022‏ - ieeexplore.ieee.org
Efficient and quick remote communication in search and rescue operations can be life-
saving for the first responders. However, while operating on the field means of …

Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data

O Dissanayake, S McPherson… - 2023 31st Irish …, 2023‏ - ieeexplore.ieee.org
Classifying calves' behavior from accelerometer sen-sors attached to neck collars is a
promising way to assess calf welfare in commercial farms. Develo** global models that …

Introducing and benchmarking a one-shot learning gesture recognition dataset

P Kasnesis, C Chatzigeorgiou, CZ Patrikakis… - … Conference on Big Data …, 2020‏ - Springer
Deep learning techniques have been widely and successfully applied, over the last five
years, to recognize the gestures and activities performed by users wearing electronic …

Living on the Edge

CZ Patrikakis, MR Lee, PA Laplante - IT professional, 2019‏ - ieeexplore.ieee.org
The articles in this special section focus on edge computing. Ecosystems have similar
characteristics in that humans, animals, devices, and even software do not simply connect …

Modality-wise relational reasoning for one-shot sensor-based activity recognition

Π Κασνέσης, Χ Χατζηγεωργίου, Χ Πατρικάκης - 2021‏ - repository-empedu-rd.ekt.gr
Deep learning concepts have been successfully transferred from the computer vision task to
that of wearable human activity recognition (HAR) over the last few years. However, deep …

Introducing and benchmarking a one-Shot Learning Gesture Recognition Dataset

Π Κασνέσης, Χ Χατζηγεωργίου, Χ Πατρικάκης - 2021‏ - repository-empedu-rd.ekt.gr
Deep learning techniques have been widely and successfully applied, over the last five
years, to recognize the gestures and activities performed by users wearing electronic …