Page 29 - THEi Student Applied Research Presentations 2024

ENHANCING ACCURACY OF RECEIVED SIGNAL
STRENGTH INDICATION (RSSI)-BASED INDOOR

POSITIONING SYSTEMS FOR ELDERLY SAFETY

ABSTRACT Poster

RESEARCH BACKGROUND

The challenges faced by elderly individuals in terms of navigation and orientation are
of significant concern, as they can greatly impact their safety and overall well-being.
Their increased vulnerability, memory loss, cognitive decline, mobility limitations,
and sensory impairments contribute to the challenges they face in navigating their
surroundings. This can lead to a higher risk of accidents, falls, or becoming victims of
crime. Understanding and addressing these issues is crucial for developing effective CHENG TSZ TSUN
interventions and ensuring the safety and quality of life for the elderly population.
BSc (Hons) in Information and
METHODOLOGY Communications Technology
The methodology of this study includes conducting a comprehensive literature review Department of Digital Innovation and
to understand the existing research and technologies related to RSSI-based indoor Technology
positioning systems. Based on this review, a system design will be developed and
then data will be collected in a variety of settings. The collected data will go through
a calibration process and use techniques such as trilateration, signal fingerprinting,
machine learning, simulated TOA, and filtering to improve positioning accuracy. OBJECTIVES
The performance of these technologies will be evaluated and analyzed, and ongoing
monitoring and adaptation strategies will be developed. Finally, design and develop a The main objectives of this study are
reliable lost and found system for elderly. • to enhance the accuracy of
RSSI-based indoor positioning
EXPECTED FINDINGS systems by exploring calibration,
The expected findings of this study include enhanced accuracy of RSSI-based indoor trilateration, signal fingerprinting,
positioning systems through the implementation of calibration processes, trilateration, machine learning, simulated TOA,
signal fingerprinting, machine learning algorithms, simulated time-of-arrival (TOA), and filtering techniques
and filtering techniques. The integration of gerontechnology and LPWAN technology • to integrate gerontechnology and
is anticipated to enable accurate tracking of elderly individuals, while the evaluation of
techniques will provide insights into their effectiveness. LPWAN technology for accurate
tracking of elderly individuals
Strategies for continuous monitoring and adaptation are expected to address • to implement continuous monitoring
environmental changes. Practical recommendations for the development of reliable
lost and find systems will be provided based on the study's findings. and adaptation strategies for
dynamic environments.

ABOUT THE INVESTIGATOR By achieving these objectives, the
study aims to improve the precision
and reliability of indoor positioning,
Hello, I am CHENG Tsz Tsun Oliver, currently pursuing a Bachelor of Science (Honours)
in Information and Communications Technology. My interests lie in floristry. I am specifically addressing the needs of the
working on my Final Year Project (FYP) under the guidance of Mr. Tommy LAU. His elderly population.
mentorship is invaluable in shaping my project. I am passionate about the Internet of
Things (IoT) and gerontechnology and eager to make meaningful contributions to IoT
and Smart devices.

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