Ai approaches towards Prechtl's assessment of general movements: A systematic literature review
General movements (GMs) are spontaneous movements of infants up to five months post-
term involving the whole body varying in sequence, speed, and amplitude. The assessment …
term involving the whole body varying in sequence, speed, and amplitude. The assessment …
A Systematic Review of Human Activity Recognition Based On Mobile Devices: Overview, Progress and Trends
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
SenseHunger: Machine learning approach to hunger detection using wearable sensors
The perception of hunger and satiety is of great importance to maintaining a healthy body
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …
Sleep stage classification in children using self-attention and Gaussian noise data augmentation
The analysis of sleep stages for children plays an important role in early diagnosis and
treatment. This paper introduces our sleep stage classification method addressing the …
treatment. This paper introduces our sleep stage classification method addressing the …
The symphony of team flow in virtual teams. Using artificial intelligence for its recognition and promotion
More and more teams are collaborating virtually across the globe, and the COVID-19
pandemic has further encouraged the dissemination of virtual teamwork. However, there are …
pandemic has further encouraged the dissemination of virtual teamwork. However, there are …
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RJ Doniec, NJ Piaseczna, KA Szymczyk… - Neural …, 2023 - academia.edu
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
A comparative study of feature selection approaches for human activity recognition using multimodal sensory data
Human activity recognition (HAR) aims to recognize the actions of the human body through
a series of observations and environmental conditions. The analysis of human activities has …
a series of observations and environmental conditions. The analysis of human activities has …
[HTML][HTML] An Optimal Feature Selection Method for Human Activity Recognition Using Multimodal Sensory Data
Recently, the research community has taken great interest in human activity recognition
(HAR) due to its wide range of applications in different fields of life, including medicine …
(HAR) due to its wide range of applications in different fields of life, including medicine …
[HTML][HTML] Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional …
Sleep is an important research area in nutritional medicine that plays a crucial role in human
physical and mental health restoration. It can influence diet, metabolism, and hormone …
physical and mental health restoration. It can influence diet, metabolism, and hormone …