Deep learning in pervasive health monitoring, design goals, applications, and architectures: An overview and a brief synthesis
The continuous growth of an aging population in some countries, and patients with chronic
conditions needs the development of efficient solutions for healthcare. Pervasive Health …
conditions needs the development of efficient solutions for healthcare. Pervasive Health …
Accuracy and acceptability of wearable motion tracking for inpatient monitoring using smartwatches
C Auepanwiriyakul, S Waibel, J Songa, P Bentley… - Sensors, 2020 - mdpi.com
Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a
convenient and low-cost method to monitor the natural behaviour of hospital patients …
convenient and low-cost method to monitor the natural behaviour of hospital patients …
[HTML][HTML] StresSense: real-Time detection of stress-displaying behaviors
Background Wrist-worn gadgets like smartphones are ideal for unobtrusively gathering user
data, in various fields such as health and fitness monitoring, communication, and …
data, in various fields such as health and fitness monitoring, communication, and …
PRIviLY: Private Remote Inference over fulLY connected deep networks for pervasive health monitoring with constrained client-side
Remote deep learning paradigm enables to better leverage the power of deep neural
networks in pervasive health monitoring (PHM) applications, especially by addressing the …
networks in pervasive health monitoring (PHM) applications, especially by addressing the …
Accuracy and acceptability of wearable motion tracking smartwatches for inpatient monitoring
C Auepanwiriyakul, S Waibel, J Songa, P Bentley… - medRxiv, 2020 - medrxiv.org
Abstract Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a
convenient and low-cost method to monitor the natural behaviour of hospital patients …
convenient and low-cost method to monitor the natural behaviour of hospital patients …
Review on machine learning and its application in atmospheric science and human behavior recognition
H Chen, M Jiang, Y Liu, J He, H Li - Proceedings of the 2020 3rd …, 2020 - dl.acm.org
Machine learning is a very popular research field, almost every industry is using machine
learning to improve the data analysis ability of the industry. In this paper, we mainly analyze …
learning to improve the data analysis ability of the industry. In this paper, we mainly analyze …
Optimization of HOG Algorithm for Computer Vision in Industrial Robots
Individuals working in the contemporary industrial sector face a diverse range of obstacles,
such as the occurrence of costly item misplacement and the following attempt to locate them …
such as the occurrence of costly item misplacement and the following attempt to locate them …
On audio feature extraction for deep Neural networks in limited-resource applications
A Llovet Guasch - 2024 - upcommons.upc.edu
The integration of feature extraction layers at the frontend of Deep Neural Networks for audio
signal processing can enhance their performance by enabling systems to focus on relevant …
signal processing can enhance their performance by enabling systems to focus on relevant …
DNN and CNN approach for human activity recognition
ŞR Keskin, A Gençdoğmuş, B Yıldırım… - … on Electrical and …, 2020 - ieeexplore.ieee.org
One of the common causes of low back pain is postural stress. When sitting or walking, poor
posture may result in spinal dysfunction. Increased pressure on the spine can cause tension …
posture may result in spinal dysfunction. Increased pressure on the spine can cause tension …