INTELLIGENT ELECTRONIC FOOTWEAR AND CONTROL LOGIC FOR AUTOMATED INFRASTRUCTURE-BASED PEDESTRIAN TRACKING

Smart overview of the Invention

Intelligent electronic footwear integrates automated features and control systems to enhance user experience and safety. This footwear communicates with intelligent transportation management systems, enabling collaborative operations. A detection tag on the shoe receives signals from traffic systems, allowing for real-time location tracking and traffic signal management based on the user's proximity.

Technical Architecture

The footwear utilizes a detection tag, such as a radio frequency (RF) transponder, to interact with stationary or moving structures. The transponder can receive prompt signals and respond with output signals, facilitating communication between the footwear and nearby vehicles or infrastructure. This setup allows for pedestrian collision avoidance by providing early warnings before visual recognition of potential hazards.

Applications for Collision Avoidance

The IoAAF system architecture helps mitigate collision risks by enhancing awareness of surroundings, even in blind spots. It can provide audible, visible, or tactile alerts to pedestrians and adjust traffic signal timings to improve safety. Beyond pedestrian environments, this technology can also be applied in industrial settings to prevent accidents involving automated machinery and workers.

Data Integration for Threat Assessment

The system conducts pedestrian collision threat assessments by analyzing various data types, including user dynamics, historical behavioral patterns, environmental conditions, and crowd-sourced information. This data is communicated wirelessly through an ad hoc network, allowing for real-time adjustments in traffic management based on the integrated information from intelligent footwear and surrounding infrastructure.

User Interaction and Security Features

Users can interact with the intelligent footwear through a human-machine interface (HMI) embedded within the shoe. Security measures are in place for feature activation, utilizing biometric validation methods like pressure sensors and gait profiling to ensure that only authorized users can access automated functionalities. This enhances both usability and security for the wearer.