Performance, challenges, and limitations in multimodal fall detection systems: A review

VR Xefteris, A Tsanousa, G Meditskos… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Fall events among older adults are a serious concern, having an impact on their health and
well-being. The development of the Internet of Things (IoT) over the last years has led to the …

A survey of machine learning approaches in animal behaviour

N Kleanthous, AJ Hussain, W Khan, J Sneddon… - Neurocomputing, 2022 - Elsevier
Animal activity recognition is an important topic that facilitates understanding of animal
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …

From offline to real-time distributed activity recognition in wireless sensor networks for healthcare: A review

R Baghezza, K Bouchard, A Bouzouane… - Sensors, 2021 - mdpi.com
This review presents the state of the art and a global overview of research challenges of real-
time distributed activity recognition in the field of healthcare. Offline activity recognition is …

Recognition and repetition counting for local muscular endurance exercises in exercise-based rehabilitation: A comparative study using artificial intelligence models

G Prabhu, NE O'connor, K Moran - Sensors, 2020 - mdpi.com
Exercise-based cardiac rehabilitation requires patients to perform a set of certain prescribed
exercises a specific number of times. Local muscular endurance exercises are an important …

Inertial sensor-based outdoor terrain classification for wheeled mobile robots

D Csík, Á Odry, J Sárosi… - 2021 IEEE 19th …, 2021 - ieeexplore.ieee.org
Nowadays, an increasing usage of autonomous mobile robots in outdoor applications can
be noticed. Identification of the terrain type is very important for efficient navigation. In this …

Improving human activity recognition using ml and wearable sensors

GS Mubibya, J Almhana - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) generates massive amounts of data everywhere through sensors
of every kind which are disseminated in a variety of objects. This data contains incredibly …

Amputee walking mode recognition based on mel frequency cepstral coefficients using surface electromyography sensor

T Hussain, N Iqbal, HF Maqbool… - … Journal of Sensor …, 2020 - inderscienceonline.com
Walking mode recognition through surface electromyography (sEMG) sensors is an active
field of smart prostheses technologies. This work presents the mel frequency cepstral …

[PDF][PDF] Using wearable sensors for human activity recognition in logistics: A comparison of different feature sets and machine learning algorithms

AS Syed, ZS Syed, MS Shah… - International Journal of …, 2020 - pdfs.semanticscholar.org
The topic of human activity recognition has gained a lot of attention due to its usage for
exercise monitoring, smart health and assisted living. Even though the aforementioned …

Prozessparallele Prognose der Werkstückqualität mithilfe von NC-internen Daten und maschinellem Lernen

S Schorr - 2021 - publikationen.sulb.uni-saarland.de
Methoden des maschinellen Lernens werden in dieser Arbeit eingesetzt, um die
Qualitätsmerkmale von einer gebohrten und geriebenen Bohrung auf der Basis von NC …

Real-Time Detection of Safety-Relevant Forklift Operating States using Acceleration Data with a Windowing Approach

L Feiner, F Chamoulias, J Fottner - … International Conference on …, 2021 - ieeexplore.ieee.org
In recent decades, many studies have been published on the topic of activity recognition.
The research field is continuously evolving. This paper presents a framework to classify …