Wheeled mobile robots: state of the art overview and kinematic comparison among three omnidirectional locomotion strategies
In the last decades, mobile robotics has become a very interesting research topic in the field
of robotics, mainly because of population ageing and the recent pandemic emergency …
of robotics, mainly because of population ageing and the recent pandemic emergency …
From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices
This paper focuses on the research on the state of the art for sensor fusion techniques,
applied to the sensors embedded in mobile devices, as a means to help identify the mobile …
applied to the sensors embedded in mobile devices, as a means to help identify the mobile …
[HTML][HTML] Glucotypes reveal new patterns of glucose dysregulation
H Hall, D Perelman, A Breschi, P Limcaoco… - PLoS …, 2018 - journals.plos.org
Diabetes is an increasing problem worldwide; almost 30 million people, nearly 10% of the
population, in the United States are diagnosed with diabetes. Another 84 million are …
population, in the United States are diagnosed with diabetes. Another 84 million are …
Modeling two-person segmentation and locomotion for stereoscopic action identification: A sustainable video surveillance system
Due to the constantly increasing demand for automatic tracking and recognition systems,
there is a need for more proficient, intelligent and sustainable human activity tracking. The …
there is a need for more proficient, intelligent and sustainable human activity tracking. The …
Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
Accidental falls (slips, trips, and falls from height) are the leading cause of occupational
death and injury in construction. As a proactive accident prevention measure, near miss can …
death and injury in construction. As a proactive accident prevention measure, near miss can …
Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer
Previous studies on physical activity recognition have utilized various fixed window sizes for
signal segmentation targeting specific activities. Naturally, an optimum window size varies …
signal segmentation targeting specific activities. Naturally, an optimum window size varies …
[HTML][HTML] Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms …
Development of a methodological framework for a robust prediction of the main behaviours of
dairy cows using a combination of machine learning algorithms on accelerometer data …
dairy cows using a combination of machine learning algorithms on accelerometer data …
Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour
E Walton, C Casey, J Mitsch… - Royal Society …, 2018 - royalsocietypublishing.org
Automated behavioural classification and identification through sensors has the potential to
improve health and welfare of the animals. Position of a sensor, sampling frequency and …
improve health and welfare of the animals. Position of a sensor, sampling frequency and …
A survey on anomalous behavior detection for elderly care using dense-sensing networks
Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …
serious attention. In order to assist them to live in a safer environment, the increasing cost of …
Detecting heat events in dairy cows using accelerometers and unsupervised learning
This study was conducted to investigate the detection of heat events in pasture-based dairy
cows fitted with on-animal sensors using unsupervised learning. Accelerometer data from …
cows fitted with on-animal sensors using unsupervised learning. Accelerometer data from …