Personal Mobility Accident Detection Using Tilt, Impact, and Speed
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Solution Overview
Problem
Personal mobility devices such as electric kickboards and bicycles lack real-time accident detection capabilities, making it difficult to identify injuries or device damage in the event of an accident, which is a growing concern due to increased usage and lack of protective features.
Innovation Solution
A device and system that utilize sensors to detect speed, tilt, and impact, along with a human machine interface (HMI) to determine accidents, output alarms or guides, and automatically notify emergency services, ensuring timely response and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal mobility devices are equipped with sensor devices to detect accidents in real-time, then user safety and accident detection capability are improved, but device complexity and cost increase
Solution Approach 1:
The accident determination device is divided into modular sensor components (acceleration sensor, gyro sensor, tilt sensor) that can independently detect different aspects of accidents. This segmentation allows the system to achieve comprehensive accident detection while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The sensor device serves multiple functions: detecting acceleration, measuring tilt angles, monitoring impact forces, and determining accident occurrence. By making the sensor system multi-functional, the patent reduces the need for separate dedicated sensors for each parameter, thereby limiting the increase in device complexity while improving reliability.
2Loss of time
If real-time accident detection and notification systems are implemented, then response time and user safety are improved, but energy consumption and device complexity increase
Solution Approach 1:
The determination device operates by periodically monitoring sensor data and comparing it against predetermined thresholds to detect accidents. This periodic action approach allows the system to maintain real-time detection capability while managing energy consumption by activating full processing only when threshold violations occur, rather than continuous high-power operation.
Solution Approach 2:
The accident determination device automatically processes sensor data, compares it with threshold values, and triggers notifications without requiring continuous user intervention or external processing. This self-service capability enables rapid response time while optimizing energy usage by performing computations locally on the device rather than relying on continuous cloud communication.
3Measurement precision
If multiple sensors and determination devices are added to personal mobility, then measurement precision and accident detection accuracy are improved, but device complexity and manufacturing cost increase
Solution Approach 1:
Multiple sensor functions (acceleration detection, tilt measurement, impact monitoring) are merged into a single integrated determination device that processes data from various sensors. This merging approach maintains high measurement precision through multi-parameter monitoring while simplifying manufacturing by reducing the number of separate components that need to be assembled.
Solution Approach 2:
The determination device is designed as a universal platform that can process data from multiple sensor types using the same core logic and threshold comparison mechanisms. This universality allows the system to achieve high detection accuracy across different accident scenarios while maintaining ease of manufacture through standardized processing architecture that can be implemented across different personal mobility device models.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time accident detection and notification, facilitating immediate user safety, emergency response, and maintenance, thereby reducing the risk of secondary accidents and improving service efficiency.
Implementation Method 1
a sensor device disposed in the personal mobility and obtaining at least one of an angle between the personal mobility and a ground, an amount of impact on the personal mobility, or a speed of the personal mobility
Data Source
AI summary
A device for determining an accident of personal mobility in real time, a system for rapidly identifying and coping with the accident, and a method for determining the accident of the personal mobility are provided. The device includes a sensor device that obtains at least one of an angle between the personal mobility and a ground, an amount of impact on the personal mobility, or a speed of the personal mobility, and a determination device that determines whether the accident of the personal mobility has occurred based on the at least one of the angle, the amount of impact, or the speed.