A review of abnormal behavior detection in activities of daily living

NC Tay, T Connie, TS Ong, ABJ Teoh, PS Teh - IEEE Access, 2023 - ieeexplore.ieee.org
Abnormal behavior detection (ABD) systems are built to automatically identify and recognize
abnormal behavior from various input data types, such as sensor-based and vision-based …

Abnormal behaviour detection in smart home environments

PV Bala Suresh, K Nalinadevi - Innovative Data Communication …, 2022 - Springer
The study of user behaviour patterns in activities of daily living is significantly challenging
due to the ambiguity in identifying a usual and unusual activities. Capturing the user …

Anomaly Detection for Human Home Activities Using Pattern Based Sequence Classification.

RM Elhadad, YF Tan - Journal of ICT Research & …, 2023 - search.ebscohost.com
In most countries, the old-age people population continues to rise. Because young adults
are busy with their work engagements, they have to let the elderly stay at home alone. This …

[PDF][PDF] Anomaly detection on in-home activities data based on time interval

SC Poh, YF Tan, SN Cheong… - … Journal of Electrical …, 2019 - pdfs.semanticscholar.org
The world population of the elderly is expected to have a continuous growth and the number
of elderly living in solitude is also expected to increase in the coming years. As our health …

[PDF][PDF] Activity Recognition and Order-Based Anomaly Detection for Smart Homes

J Patel, N Kadiresan - 2024 - easychair.org
Sensors provide an unobtrusive way of collecting daily living activities data of users. With the
advancement in the field of electronics, collection of sensor data has become easier and can …