Multibiometric Wearable Access Control With Fall Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current security solutions for delivery vehicles and drivers are inadequate, as they rely on traditional locks and lack effective measures to prevent thefts and attacks.
Innovation Solution
A wearable device equipped with biometric sensors, including accelerometers, finger pressure sensors, and potentially fingerprint, blood flow, or gyro sensors, to identify users and detect falls, enhancing security by controlling access to vehicle spaces and alerting authorities in case of threats or accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional vehicle locks are used for delivery vehicles, then device complexity is low, but security reliability is insufficient
Solution Approach 1:
The patent replaces traditional mechanical lock systems with a biometric authentication system using accelerometers and pressure sensors. The wearable device captures movement patterns and pressure data to verify driver identity, substituting mechanical security with sensor-based biometric verification to improve reliability while managing complexity through integrated sensor technology.
Solution Approach 2:
The system changes the security verification parameter from physical key insertion to dynamic biometric parameters including acceleration patterns, pressure distribution, and movement sequences. This allows for more reliable security verification by capturing unique physiological and behavioral characteristics of the driver.
2Reliability
If multiple biometric sensors are integrated for user identification, then identification reliability improves, but device complexity increases
Solution Approach 1:
The patent combines multiple biometric sensing functions (acceleration detection, pressure measurement) into a single wearable device. The accelerometers and pressure sensors are integrated to work together, capturing complementary biometric data simultaneously. This merging approach improves identification reliability through multi-parameter verification while containing device complexity through unified sensor integration.
Solution Approach 2:
The wearable device is designed with multi-functionality, serving both as an identification tool and a safety monitoring device. The same sensors used for authentication (accelerometers, pressure sensors) also detect falls and monitor driver safety, eliminating the need for separate dedicated devices and reducing overall system complexity.
3Reliability
If biometric sensors are used to detect falls and attacks, then driver safety monitoring improves, but use of energy increases
Solution Approach 1:
The system employs periodic sampling of biometric data rather than continuous monitoring. The accelerometers and pressure sensors capture data at specific intervals during normal operation and activate more intensive monitoring only when anomalies are detected. This periodic action maintains high safety monitoring reliability while significantly reducing overall energy consumption compared to continuous monitoring.
Solution Approach 2:
The wearable device uses passive sensing capabilities where the sensors naturally detect movements and pressures without requiring active power consumption for signal generation. The system leverages the inherent physical properties of the sensors to detect falls and attacks, minimizing energy usage while maintaining reliable safety monitoring.
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
The wearable device provides improved security for drivers by reliably identifying users, preventing unauthorized access, and alerting central offices in case of attacks or falls, thereby enhancing safety and efficiency in delivery operations.
Implementation Method 1
a first biometric sensor is a first accelerometer configured to measure acceleration of a part of a first limb of the user
Implementation Method 2
a third biometric sensor is a second accelerometer configured to measure acceleration of a body part of the user being distinct from the first limb of the user
Implementation Method 3
a second biometric sensor for obtaining second biometric data of the user comprising a finger pressure parameter
Data Source
AI summary
It is provided a wearable device for determining when a user has fallen down. The wearable device comprises: a first biometric sensor for obtaining first biometric data of the user, wherein the first biometric sensor is a first accelerometer configured to measure acceleration of a part of a first limb of the user; a second biometric sensor for obtaining second biometric data of the user comprising a finger pressure parameter; and a third biometric sensor for obtaining third biometric data, the third biometric sensor being a second accelerometer configured to measure acceleration of a body part of the user being distinct from the first limb. The wearable device is configured to determine an identity of the user is based on the first biometric data, the second biometric data and the third biometric data, the identity being used to control access to a physical space, and to determine when the user has fallen down.