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Anomaly detection for IoT time-series data: A survey
Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …
the identification of novel or unexpected observations or sequences within the data being …
[HTML][HTML] Internet of things architectures, technologies, applications, challenges, and future directions for enhanced living environments and healthcare systems: a …
Internet of Things (IoT) is an evolution of the Internet and has been gaining increased
attention from researchers in both academic and industrial environments. Successive …
attention from researchers in both academic and industrial environments. Successive …
Smart cities: concepts, architectures, research opportunities
R Khatoun, S Zeadally - Communications of the ACM, 2016 - dl.acm.org
Smart cities: concepts, architectures, research opportunities Page 1 46 COMMUNICATIONS
OF THE ACM | AUGUST 2016 | VOL. 59 | NO. 8 contributed articles DOI:10.1145/2858789 The …
OF THE ACM | AUGUST 2016 | VOL. 59 | NO. 8 contributed articles DOI:10.1145/2858789 The …
Sensor data acquisition and multimodal sensor fusion for human activity recognition using deep learning
S Chung, J Lim, KJ Noh, G Kim, H Jeong - Sensors, 2019 - mdpi.com
In this paper, we perform a systematic study about the on-body sensor positioning and data
acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that …
acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that …
Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm
MAK Quaid, A Jalal - Multimedia Tools and Applications, 2020 - Springer
Human behavior pattern recognition (BPR) from accelerometer signals is a challenging
problem due to variations in signal durations of different behaviors. Analysis of human …
problem due to variations in signal durations of different behaviors. Analysis of human …
Industrial wearable system: the human-centric empowering technology in Industry 4.0
The Industry 4.0 program and corresponding international initiatives continue to transform
the industrial workforce and their work. The service-oriented, customer-centric and demand …
the industrial workforce and their work. The service-oriented, customer-centric and demand …
Unsupervised deep learning for IoT time series
Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …
variety of areas, ranging from health informatics to network security. Nevertheless, the …
Wearable sensor-based human behavior understanding and recognition in daily life for smart environments
A Jalal, MAK Quaid, AS Hasan - 2018 International Conference …, 2018 - ieeexplore.ieee.org
Behavior recognition using motion sensors is getting prominence over other systems such
as e-healthcare and life-log analysis systems especially in the healthcare domain for …
as e-healthcare and life-log analysis systems especially in the healthcare domain for …
A Triaxial acceleration-based human motion detection for ambient smart home system
A Jalal, MAK Quaid, MA Sidduqi - 2019 16th International …, 2019 - ieeexplore.ieee.org
Health industry off late has been driven heavily by sensors ie accelerometers,
magnetometers etc. which has allowed instant medical response to any injurious activity in …
magnetometers etc. which has allowed instant medical response to any injurious activity in …
Activity recognition and anomaly detection in smart homes
Physical and cognitive impairments decline the ability of elderly in execution of daily
activities, such as eating, slee** or taking medication. The proposed approach recognizes …
activities, such as eating, slee** or taking medication. The proposed approach recognizes …