Wearable Drowsy Driver Detection Using Multi-Sensor Segmentation
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Solution Overview
Problem
Current solutions fail to accurately and efficiently detect drowsy drivers, as they often rely on single sensors and consume excessive power, leading to potential false positives and reduced battery life in wearable devices.
Innovation Solution
A multi-step process using a combination of sensors, such as accelerometers and heart rate monitors, where the second sensor is activated only upon detecting abnormal movement, allowing for more accurate confirmation of drowsy driver conditions while minimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are continuously activated to improve detection accuracy, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent implements periodic action by activating the second sensor (heart rate monitor) only during specific periods when abnormal movement is detected by the first sensor (accelerometer), rather than continuously. This periodic activation significantly reduces power consumption while maintaining detection accuracy when needed.
Solution Approach 2:
The patent applies preliminary action by using the first sensor to detect abnormal movement patterns before activating the second sensor for confirmation. This preliminary detection step filters out unnecessary activations, ensuring the second sensor is only turned on when there is a genuine indication of potential drowsiness.
2Reliability
If multiple sensors are used to confirm drowsy driver condition, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the detection process into two distinct stages: initial detection using the first sensor (accelerometer) and confirmation using the second sensor (heart rate monitor). This segmentation allows the system to achieve high reliability through multi-sensor confirmation while managing complexity by organizing sensors into functional groups with specific roles.
Solution Approach 2:
The first sensor acts as an intermediary that filters and pre-processes data before triggering the second sensor. This intermediary role reduces the direct interaction complexity between multiple sensors, as the first sensor mediates when the second sensor should be activated, simplifying the overall system architecture.
3Use of energy by moving object
If the second sensor is activated only upon abnormal movement detection, then use of energy is reduced, but detection time increases
Solution Approach 1:
The system uses periodic action by continuously monitoring with the low-power first sensor and only activating the second sensor during specific periods when abnormal patterns are detected. This approach minimizes both power consumption and detection time, as the second sensor is activated only when necessary rather than continuously or with long delays.
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
This approach enhances the accuracy of drowsy driver detection, reduces power consumption, and extends battery life in wearable devices, effectively alerting the driver and potentially preventing accidents.
Implementation Method 1
a first sensor (e.g., a motion sensor) of the wearable wireless device generate sensor data that is analyzed by the drowsy driver module to detect a drowsy driver condition
Implementation Method 2
one or more second sensors (e.g., a heart rate monitor) on the wearable wireless device to generate second sensor data. The drowsy driver module analyzes the second sensor data to confirm the drowsy driver condition
Data Source
AI summary
In embodiments of drowsy driver detection, a drowsy driver mode is initiated on a wearable wireless device being worn by a user in response to detecting that the user is driving a vehicle. The drowsy driver mode causes the wearable wireless device to use a first sensor to generate first sensor data which can be analyzed to detect a drowsy driver condition. In response to detecting the drowsy driver condition, a second sensor on the wearable wireless device is activated to generate second sensor data that can be analyzed to confirm the drowsy driver condition. In response to confirming the drowsy driver condition, one or more alerts are initiated. Generally, the alerts are intended to wake up the user, warn other passengers in the vehicle that the user is drowsy or otherwise impaired, and/or notify an emergency operator.