Non-intrusive human activity recognition and abnormal behavior detection on elderly people: A review

A Lentzas, D Vrakas - Artificial Intelligence Review, 2020 - Springer
With the world population aging at a fast rate, ambient assisted living systems focused on
elderly people gather more attention. Human activity recognition (HAR) is a component …

A review of non-intrusive load monitoring applications in industrial and residential contexts

S Mari, G Bucci, F Ciancetta, E Fiorucci, A Fioravanti - Energies, 2022 - mdpi.com
Load monitoring systems make it possible to obtain information on the status of the various
loads powered by an electrical system. The term “electrical load” indicates any device or …

Event-based energy disaggregation algorithm for activity monitoring from a single-point sensor

J Alcalá, J Ureña, Á Hernández… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The massive deployment of smart meters and other customized meters has motivated the
development of nonintrusive load monitoring (NILM) systems. This is the process of …

Assessing human activity in elderly people using non-intrusive load monitoring

JM Alcalá, J Ureña, Á Hernández, D Gualda - Sensors, 2017 - mdpi.com
The ageing of the population, and their increasing wish of living independently, are
motivating the development of welfare and healthcare models. Existing approaches based …

Appliance level energy characterization of residential electricity demand: prospects, challenges and recommendations

R Liaqat, IA Sajjad, M Waseem, HH Alhelou - Ieee Access, 2021 - ieeexplore.ieee.org
The advent of information and communication technologies has paved the way for smart
cities. Residential customers are the major consumers of electrical energy in such cities …

Performance characterization of a switchable acoustic resolution and optical resolution photoacoustic microscopy system

M Moothanchery, M Pramanik - Sensors, 2017 - mdpi.com
Photoacoustic microscopy (PAM) is a scalable bioimaging modality; one can choose low
acoustic resolution with deep penetration depth or high optical resolution with shallow …

Competitive autoassociative neural networks for electrical appliance identification for non-intrusive load monitoring

LR Morais, ARG Castro - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents a new approach to electrical appliance identification for non-intrusive
load monitoring (NILM). In the proposed method a set of autoassociative neural networks is …

Augmenting an assisted living lab with non-intrusive load monitoring

H Bousbiat, C Klemenjak, G Leitner… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
The need for reducing our energy consumption footprint and the increasing number of
electric devices in today's homes is calling for new solutions that allow users to efficiently …

Ageing safely in the digital era: A new unobtrusive activity monitoring framework leveraging on daily interactions with hand-operated appliances

H Bousbiat, G Leitner, W Elmenreich - Sensors, 2022 - mdpi.com
Supporting the elderly to maintain their independence, safety, and well-being through Active
Assisted Living (AAL) technologies, is gaining increasing momentum. Recently, Non …

非侵入式负荷监测算法的测试与评价方法

栾文鹏, 韦尊, 刘博, 刘子帅, 余贻鑫 - 电网技术, 2022 - epjournal.csee.org.cn
非侵入式电力负荷监测(nonintrusive load monitoring, NILM) 是一种低成本,
高效益的用电细节信息获取技术, 在智能配用电领域具有广阔的应用空间. 然而, 缺少客观, 全面 …