Evaluating challenges and adoption factors for active assisted living smart environments

L Lam, L Fadrique, G Bin Noon, A Shah… - Frontiers in Digital …, 2022 - frontiersin.org
While there have been rapid advancements in individual technologies such as Internet of
Things (IoT) and Active Assisted Living (AAL) to address challenges related to an aging …

homesound: Real-time audio event detection based on high performance computing for behaviour and surveillance remote monitoring

RM Alsina-Pagès, J Navarro, F Alías, M Hervás - Sensors, 2017 - mdpi.com
The consistent growth in human life expectancy during the recent years has driven
governments and private organizations to increase the efforts in caring for the eldest …

Ethical framework of assistive devices: review and reflection

N Mansouri, K Goher, SE Hosseini - Robotics and Biomimetics, 2017 - Springer
The population of ageing is growing significantly over the world, and there is an emerging
demand for better healthcare services and more care centres. Innovations of Information and …

A human-centered artificial intelligence approach for privacy protection of elderly App users in smart cities

H Elahi, A Castiglione, G Wang, O Geman - Neurocomputing, 2021 - Elsevier
Abstract Artificial Intelligence and Machine Learning based Ambient Assisted Living systems
play an important role in smart cities by improving the quality of life of the elderly population …

eFRIEND: an ethical framework for intelligent environment development

S Jones, S Hara, J Augusto - … of the 7th International Conference on …, 2014 - dl.acm.org
Intelligent Environments bring technology closer to daily life and aim to provide context-
sensitive services to humans in the physical spaces in which they work and live. Some …

A trust and privacy framework for smart manufacturing environments

F Mannhardt, SA Petersen… - Journal of Ambient …, 2019 - content.iospress.com
Operators in industrial manufacturing environments are under pressure to cope with the ever
increasing flexibility and complexity of work. Transitioning towards data-driven smart …

Audio-based anomaly detection on edge devices via self-supervision and spectral analysis

F Lo Scudo, E Ritacco, L Caroprese… - Journal of Intelligent …, 2023 - Springer
In real-world applications, audio surveillance is often performed by large models that can
detect many types of anomalies. However, typical approaches are based on centralized …

On-device object detection for more efficient and privacy-compliant visual perception in context-aware systems

I Rodriguez-Conde, C Campos, F Fdez-Riverola - Applied Sciences, 2021 - mdpi.com
Ambient Intelligence (AmI) encompasses technological infrastructures capable of sensing
data from environments and extracting high-level knowledge to detect or recognize users' …

Sensing Care Through Design: A Speculative Role-play Approach to" Living with" Sensor-supported Care Networks

S Rattay, R Collins, A Surana, Y Lee, Y Liu… - Proceedings of the …, 2023 - dl.acm.org
Sensor networks are increasingly commonplace in visions of smart cities and future
healthcare systems, promising greater efficiency and increased wellbeing. However, the …

[HTML][HTML] Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings

T Vats, S Kumar, SK Singh, U Madan, M Preet… - Cyber Security and …, 2024 - Elsevier
Ambient intelligence technologies have the potential to transform healthcare by providing
personalized, context-aware, and proactive support for patients and healthcare providers …