[HTML][HTML] A review of uncertainty quantification in deep learning: Techniques, applications and challenges

M Abdar, F Pourpanah, S Hussain, D Rezazadegan… - Information fusion, 2021 - Elsevier
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of
uncertainties during both optimization and decision making processes. They have been …

[HTML][HTML] Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns

M Jovanovic, G Mitrov, E Zdravevski, P Lameski… - Journal of Medical …, 2022 - jmir.org
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …

Triple cross-domain attention on human activity recognition using wearable sensors

Y Tang, L Zhang, Q Teng, F Min… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Efficiently identifying activities of daily living (ADL) provides very important contextual
information that is able to improve the effectiveness of various sports tracking and healthcare …

Human activity recognition based on dynamic active learning

H Bi, M Perello-Nieto… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Activity of daily living is an important indicator of the health status and functional capabilities
of an individual. Activity recognition, which aims at understanding the behavioral patterns of …

A survey on edge computing for wearable technology

X Jin, L Li, F Dang, X Chen, Y Liu - Digital Signal Processing, 2022 - Elsevier
Smart wearable devices have become more and more popular in our daily life due to their
unique power of “wearing-while-using.” However, requirements of light weight and compact …

Toward user-driven sound recognizer personalization with people who are d/deaf or hard of hearing

SM Goodman, P Liu, D Jain, EJ McDonnell… - Proceedings of the …, 2021 - dl.acm.org
Automated sound recognition tools can be a useful complement to d/Deaf and hard of
hearing (DHH) people's typical communication and environmental awareness strategies …

A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs

VN Tran, VY Ivanov, GT Nguyen, TN Anh… - Journal of …, 2024 - Elsevier
Accurate prediction of reservoir inflows and outflows and their uncertainties is essential for
managing water resources and establishing early-warning systems. However, this can be a …

Transfer learning in human activity recognition: A survey

SG Dhekane, T Ploetz - arXiv preprint arXiv:2401.10185, 2024 - arxiv.org
Sensor-based human activity recognition (HAR) has been an active research area, owing to
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …

Multi-dimensional task recognition for human-robot teaming: literature review

P Baskaran, JA Adams - Frontiers in Robotics and AI, 2023 - frontiersin.org
Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

Impact of wearable measurement properties and data quality on ADLs classification accuracy

A Poli, G Cosoli, L Scalise, S Spinsante - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In the field of automatic recognition and classification of Activities of Daily Living (ADLs), a
paramount role to determine the classification accuracy is played by sensor technologies, as …