Detection and Sensing of Human Body Micro-Motions Using 24GHz mm-Waves: A Case Study

Title

Detection and Sensing of Human Body Micro-Motions Using 24GHz mm-Waves: A Case Study

Creator

Joy, Salna; Rajesh, Siddharth; Neethu, P.S.

Description

The paper presents a 24 GHz millimeter-wave (mm-Wave) system for real-time human presence and distance detection, leveraging the 24 GHz band's balance of range, resolution, and power efficiency for applications in smart environments. The system uses Doppler-based reflections from signals to accurately detect presence and estimate distances with 12cm accuracy up to 5 meters with little needed infrastructure. The challenges presented by signal attenuation and multipath interference are addressed using beamforming and Massive MIMO with 5G-enabled IoT as the framework. The use of Ultra-Reliable Low Latency Communication and Massive-Machine-Type Communication allows a framework for rapid data processing and scalability. This system enables automated smart home lighting, healthcare occupancy detection, and security intrusion alert applications, with very high detection accuracies. The limits are reduced detection performance beyond a distance of 6 meters and interference from reflective surfaces. Future work includes investigating the 60 GHz bands, which will yield higher resolution in the detection, and using machine learning techniques to develop adaptive detection, as a scalable and cost effective method of real-time automation in a range of settings. 2025 IEEE.

Source

2025 12th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2025;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

24 GHz mm-Wave; beam-forming; Doppler effect; human motion detection; IoT; micro-motion sensing; MIMO; signal attenuation; smart environments

Coverage

Joy S., New Horizon College of Engineering, Department of Computer Science and Engineering, Bengaluru, India; Rajesh S., New Horizon College of Engineering, Department of Electronics and Communication Engineering, Bengaluru, India; Neethu P.S., School of Engineering and Technology, Christ University, Dept of Aiml and Data Science, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833155421-7;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICRITO66076.2025.11241290

https://www.scopus.com/pages/publications/105029820572?origin=resultslist