Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices–A scoping review

K Wang, M Ghafurian, D Chumachenko, S Cao… - Computers in Biology …, 2024 - Elsevier
Background The aging population is steadily increasing, posing new challenges and
opportunities for healthcare systems worldwide. Technological advancements, particularly in …

Packets-to-prediction: An unobtrusive mechanism for identifying coarse-grained sleep patterns with wifi mac layer traffic

D Jaisinghani, N Phutela - Sensors, 2023 - mdpi.com
A good night's sleep is of the utmost importance for the seamless execution of our cognitive
capabilities. Unfortunately, the research shows that one-third of the US adult population is …

Effectiveness of Higuchi fractal dimension in differentiating subgroups of stressed and non-stressed individuals

N Phutela, G Gabrani, P Kumaraguru… - Multimedia Tools and …, 2024 - Springer
Stress has a significant mental health problem of the 21st century. The number of people
suffering from stress is increasing rapidly. Thus, easy-to-use, inexpensive, and accurate …

iMat: A Non-Intrusive and Low Cost Sleep Posture Estimation Mat

R Singh, N Phutela… - 2024 16th International …, 2024 - ieeexplore.ieee.org
In this paper, we present sleep posture estimating mat-a specialized piece of technology
designed to track and analyse various aspects of a person's sleep patterns during the night …

Optimization-driven deep reinforcement learning for sniffer patrolling in wireless networks

X Luo, M Wang, C Zeng, C Li, J Xu… - … and Mobile Computing …, 2022 - ieeexplore.ieee.org
Passive traffic monitoring can be used for network diagnosis and management in wireless
networks by deploying wireless sniffers to monitor abnormal data traffic on different channels …