Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …
led to the creation of huge amount of multimedia information such as, video, audio, and text …
Capturing eating behavior from video analysis: a systematic review
Current methods to detect eating behavior events (ie, bites, chews, and swallows) lack
objective measurements, standard procedures, and automation. The video recordings of …
objective measurements, standard procedures, and automation. The video recordings of …
SqueezeNet and fusion network-based accurate fast fully convolutional network for hand detection and gesture recognition
B Qiang, Y Zhai, M Zhou, X Yang, B Peng… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate fast hand detection and gesture recognition for hand understanding are still
challenging tasks that are influenced by the diversity of hands and the complexity of the …
challenging tasks that are influenced by the diversity of hands and the complexity of the …
Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: from the perspective of event related potentials and deep …
C Wang, T Xu, W Yu, T Li, H Han, M Zhang… - International Journal of …, 2022 - Elsevier
Abstract Alzheimer's disease (AD), a neurodegenerative disorder characterized by
progressive cognitive decline, is generally prevalent in elderly people with significant …
progressive cognitive decline, is generally prevalent in elderly people with significant …
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention
Unhealthy dietary habits are considered as the primary cause of various chronic diseases,
including obesity and diabetes. The automatic food intake monitoring system has the …
including obesity and diabetes. The automatic food intake monitoring system has the …
Transformer with Selective Shuffled Position Embedding for Early Detection of Knee Osteoarthritis
Knee OsteoArthritis (KOA) is a common musculoskeletal disorder, which causes reduced
mobility for seniors. Early detection of such a disorder is important to limit its impact on …
mobility for seniors. Early detection of such a disorder is important to limit its impact on …
An end-to-end energy-efficient approach for intake detection with low inference time using wrist-worn sensor
Automated detection of intake gestures with wearable sensors has been a critical area of
research for advancing our understanding and ability to intervene in people's eating …
research for advancing our understanding and ability to intervene in people's eating …
Egocentric image captioning for privacy-preserved passive dietary intake monitoring
Camera-based passive dietary intake monitoring is able to continuously capture the eating
episodes of a subject, recording rich visual information, such as the type and volume of food …
episodes of a subject, recording rich visual information, such as the type and volume of food …
Counting bites and recognizing consumed food from videos for passive dietary monitoring
Assessing dietary intake in epidemiological studies are predominantly based on self-reports,
which are subjective, inefficient, and also prone to error. Technological approaches are …
which are subjective, inefficient, and also prone to error. Technological approaches are …
Deep learning for intake gesture detection from wrist-worn inertial sensors: The effects of data preprocessing, sensor modalities, and sensor positions
Wrist-worn inertial measurement units have emerged as a promising technology to passively
capture dietary intake data. State-of-the-art approaches use deep neural networks to …
capture dietary intake data. State-of-the-art approaches use deep neural networks to …