A Comprehensive “Real-World Constraints”-Aware Requirements Engineering Related Assessment and a Critical State-of-the-Art Review of the Monitoring of Humans in Bed
Currently, abnormality detection and/or prediction is a very hot topic. In this paper, we addressed it in the frame of activity monitoring of a human in bed. This paper presents a comprehensive formulation of a requirements engineering dossier for a monitoring system of a “human in bed” for abnormal...
Main Authors: | Kyandoghere Kyamakya, Vahid Tavakkoli, Simon McClatchie, Maximilian Arbeiter, Bart G. Scholte van Mast |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/16/6279 |
Similar Items
-
PrOuD: Probabilistic Outlier Detection Solution for Time-Series Analysis of Real-World Photovoltaic Inverters
by: Yujiang He, et al.
Published: (2023-12-01) -
Interpretability-Aware Industrial Anomaly Detection Using Autoencoders
by: Rui Jiang, et al.
Published: (2023-01-01) -
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
by: Kamil Faber, et al.
Published: (2024-01-01) -
dCNN/dCAM: anomaly precursors discovery in multivariate time series with deep convolutional neural networks
by: Paul Boniol, et al.
Published: (2023-01-01) -
Robust and Explainable Semi-Supervised Deep Learning Model for Anomaly Detection in Aviation
by: Milad Memarzadeh, et al.
Published: (2022-08-01)