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Automatic Tracking Based on Weighted Fusion Back Propagation in UWB for IoT Devices
Boliang Zhang1, Lu Shen1, Jiahua Yao1
1Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China.
A new mobile Internet of Things (IoT) device uses Ultra-Wideband (UWB) technology to precisely track and follow users, aiding vulnerable populations. This innovative system enhances mobility assistance for the elderly and disabled.
Area of Science:
- Robotics and Automation
- Internet of Things (IoT)
- Sensor Fusion and Localization
Background:
- Global population aging presents significant challenges in assisting vulnerable groups like the elderly and disabled with object transport.
- Existing mobility assistance solutions often lack precision and adaptability in complex environments.
Purpose of the Study:
- To develop a mobile IoT device utilizing Ultra-Wideband (UWB) technology for precise localization and autonomous following.
- To create a comprehensive experimental platform integrating autonomous following, robotic arm, obstacle avoidance, and leveling control.
- To enhance mobility assistance for vulnerable populations including the elderly, disabled, pregnant women, and children.
Main Methods:
- Implementation of Ultra-Wideband (UWB) technology for precise device localization and tracking.
- Integration of an autonomous following system, robotic arm, ultrasonic obstacle avoidance, and automatic leveling control.
- Development and application of a hybrid filtering-weighted fusion back propagation (HFWF-BP) neural network localization algorithm.
Main Results:
- The proposed HFWF-BP algorithm effectively preprocesses data, eliminating errors caused by multi-factor interference.
- Significant enhancement in the precision and anti-interference capabilities of the UWB localization and following system.
- Successful deployment and experimentation validating the comprehensive experimental platform's functionality.
Conclusions:
- The developed mobile IoT device with UWB technology offers a precise and reliable solution for mobility assistance.
- The HFWF-BP algorithm demonstrates superior performance in challenging environments, improving localization accuracy.
- This research provides valuable references for developing assistive technologies for vulnerable populations and advancing IoT applications.
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