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Synthetic IMU datasets and protocols can simplify fall detection experiments and optimize sensor configuration
Falls represent a significant cause of injury among the elderly population. Extensive
research has been devoted to the utilization of wearable IMU sensors in conjunction with …
research has been devoted to the utilization of wearable IMU sensors in conjunction with …
LSTM-based trajectory and phase-shift prediction for RSMA networks assisted by AIRS
This paper investigates rate-splitting multiple access (RSMA) networks with multiusers
assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the …
assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the …
The impact of synthetic data on fall detection application
Lack of real-world data in clinical fields poses a major obstacle for training deep learning
models. Using data augmentation can increase data volume, making the training of deep …
models. Using data augmentation can increase data volume, making the training of deep …
Artificial Intelligence in Gerontology: Data-Driven Health Management and Precision Medicine
As the global population ages, healthcare systems face increasing challenges in managing
the complex health needs of older adults, including multimorbidity, cognitive decline, and …
the complex health needs of older adults, including multimorbidity, cognitive decline, and …
Trajectory design for rsma networks assisted by airs with lstm and transformers
This paper investigates rate-splitting multiple access (RSMA) networks assisted by aerial
intelligent surfaces (AIRS) by employing deep-learning approaches to solve trajectory …
intelligent surfaces (AIRS) by employing deep-learning approaches to solve trajectory …
Quantization with Gate Disclosure for Embedded Artificial Intelligence Applied to Fall Detection
Fall detection in the elderly population is a typical application of pattern recognition, where
machine learning algorithms have shown good performance results in the scientific …
machine learning algorithms have shown good performance results in the scientific …
Ripening assessment classification using artificial intelligence algorithms with electrochemical impedance spectroscopy data
The increasingly growth of the world's population requires more efficient efforts to manage
people's needs. One important problem lies on food distribution, quality and sustainability …
people's needs. One important problem lies on food distribution, quality and sustainability …
Horses Identification Through Deep Learning Algorithms
In many horse-related events, such as competitions, auctions, international travel, or do**
control, the need to determine the identity of all horses involved is a must to ensure …
control, the need to determine the identity of all horses involved is a must to ensure …
GeriatricCare 4.0: A Novel 3D Context-Based CareVision Framework for Fall Detection, Fall Classification and Fall Alerts for Elderlies
Falls can cause severe injuries, if an elderly person has a" long-life." In the presented
research work, we have applied the widely known benchmark dataset" L2ei" and the …
research work, we have applied the widely known benchmark dataset" L2ei" and the …
Elderly Fall Detection Using Attention Based dilated CNN and dilated BiLSTM
The World Health Organisation estimates that thousands of people die each year as a result
of falling, which is a serious health issue. When necessary, fall detection and fall prediction …
of falling, which is a serious health issue. When necessary, fall detection and fall prediction …