An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultrawideband Signals

Li A, Bodanese E, Poslad S, Huang Z, Hou T, Wu K, Luo F (2024)

Publication Type: Journal article

Publication year: 2024

Journal

IEEE Internet of Things Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 11

Pages Range: 1509-1521

Journal Issue: 1

DOI: 10.1109/JIOT.2023.3290421

Abstract

Fall detection and recognition play a crucial role in enabling timely medical interventions for people who are at risk of falls, especially among vulnerable populations like older adults and those with mobility limitations. In this article, a cost-effective integrated sensing and communication system, namely, FallDR, is presented for fall detection and recognition using ultrawideband communication. First, we collected the time of flight information of falls (four types) and nonfall events by 10 participants using FallDR. We then proposed a convolutional neural network incorporated with squeeze-and-excitation blocks to detect and recognize falls based on fall trajectories. It proves that the proposed model is accurate, energy-efficient, and lightweight to achieve 100% accuracy in fall detection and recognition. Our proposed solution is proven to be highly robust against environmental changes, such as interference, distance, and direction changes. Further tests in an office showed that FallDR could achieve nearly 100% accuracy, even when the environment was changed. FallDR efficiently employs the characteristics of fall trajectory and the advanced modeling ability of the neural network. We have published our archived data sets and code for comparisons and improvements.

Involved external institutions

Shenzhen University (SZU) / 深圳大学 CN China (CN) Queen Mary, University of London GB United Kingdom (GB) Beijing Jiaotong University / 北京交通大学 CN China (CN)

How to cite

APA:

Li, A., Bodanese, E., Poslad, S., Huang, Z., Hou, T., Wu, K., & Luo, F. (2024). An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultrawideband Signals. IEEE Internet of Things, 11(1), 1509-1521. https://dx.doi.org/10.1109/JIOT.2023.3290421

MLA:

Li, Anna, et al. "An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultrawideband Signals." IEEE Internet of Things 11.1 (2024): 1509-1521.

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