We are highly delighted to specially invite you to contribute chapters for the book titled "Multi-Resident Activity Recognition using Deep Learning Models in the Smart Home Environment" planned to include in the “IET International Book Series on Sensors,” (pending positive reviews from the book series board members and a review of the full manuscript) to be published during October-November 2023.

We specially invite you to be a part of this edited book by contributing a high quality research/ critical review work with the motto to bring together the leading industry and academia practitioners to share their insights, expertise and experiences to have an in-depth look to researchers of this area.

The Content of the book comprises of (but not limited to)
1. Recent Trends in multi-resident activity recognition systems – Fundamentals, Applications, Challenges and Limitations
2. Multi-resident activity recognition datasets: Generation and Challenges
3. A review of the applications of activity recognition systems for multiple user smart home environments
4. Hybrid Sequential models for Multi-resident Activity recognition systems
5. Deep Learning models for Multi-resident Activity Recognition systems
Utilizing Deep Learning models in CSI based Multi-resident human activity recognition systems
6. Effectiveness of graphical models on MRMLAR systems
7. Improving the efficiency of multi-resident activity recognition systems using auto and manual clustering of a dataset
8. Coupling of Fuzzy and Deep Learning model for smart home based multi-resident activity recognition systems
9. Internet of Things centric based multi-resident activity recognition systems

In case of interest in contributing to this edited book mentioned, contribute the chapters (abstract) along with the details given below on or before 15-February-2023 to the mail id : ramanujam@cse.nits.ac.in.