Dynamic Device Triggering in Closed Spaces Using Sensor Grids
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Solution Overview
Problem
Existing methods for controlling the use of digital devices in specific areas, such as vehicles or public spaces, are limited in scope and often interfere with non-target devices, requiring multiple external devices and sensors, and rely on continuous battery power and costly modifications, while also being difficult to enforce effectively.
Innovation Solution
A system comprising sensors and a processor that captures multiple sensor parameters to dynamically compartmentalize a closed space and determine the position of a digital device within it, triggering device features based on predefined zones and user preferences or regulatory settings, without the need for continuous external interactions or costly modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal jamming techniques are used to prevent use of digital devices in specific areas, then device usage control is improved, but interference with non-target devices and communications increases
Solution Approach 1:
The closed space is divided into multiple compartments based on sensor data, allowing the system to apply device usage controls to specific compartments rather than the entire space. This segmentation enables targeted control of device usage in areas where it is necessary while leaving other areas unaffected, thus preventing interference with non-target devices.
Solution Approach 2:
The system applies different control policies to different compartments within the closed space based on local conditions detected by sensors. Each compartment can have customized device usage restrictions tailored to its specific context, allowing for precise control that affects only the relevant local area rather than universally blocking all devices.
2Measurement precision
If GPS based speed determination is used to determine driver status, then driver detection accuracy is improved, but data bandwidth consumption and battery usage increase
Solution Approach 1:
The system combines multiple sensor parameters including accelerometer data, gyroscope data, and other motion sensors to determine device position and orientation within the vehicle. By merging these multiple low-power sensor inputs, the system achieves accurate driver detection without relying solely on GPS, thereby reducing battery consumption while maintaining measurement precision.
Solution Approach 2:
The system replaces GPS-based location tracking with inertial sensor-based position determination using accelerometers and gyroscopes. This substitution eliminates the need for continuous GPS data transmission and processing, significantly reducing data bandwidth consumption and battery usage while maintaining the ability to accurately determine driver status through motion pattern analysis.
3Measurement precision
If multiple external devices and sensors are deployed to determine driver status, then detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The system utilizes sensors that are already present in modern smartphones (accelerometers, gyroscopes, proximity sensors, cameras) to perform multiple functions including driver detection, device positioning, and usage monitoring. By making these existing sensors multi-functional, the system achieves accurate driver status detection without requiring additional external devices, thereby reducing system complexity.
Solution Approach 2:
The system leverages the sensors already built into the digital device itself to determine driver status and device position, eliminating the need for separate external sensing devices. The device uses its own internal sensors to self-determine its context and apply appropriate usage controls, reducing overall system complexity and cost.
4Ease of operation
If device features are disabled based on positive human action, then user control is improved, but automation level decreases and enforcement becomes difficult
Solution Approach 1:
The system continuously monitors sensor data from the device and environment, providing real-time feedback about device position and context. Based on this feedback, the system automatically adjusts device feature availability and usage controls without requiring explicit user action, achieving high automation while maintaining ease of operation through intelligent environmental awareness.
Solution Approach 2:
The system pre-configures device usage policies and controls based on anticipated contexts (such as driver vs. passenger positions) determined through sensor analysis. Before a user attempts to use a device feature, the system has already determined the appropriate usage rules based on device position and context, enabling automatic enforcement of usage policies without requiring real-time user decisions.
Data Source
AI summary
A system may dynamically trigger a digital device based on settings, and the device's position within a closed space, and the device's velocity. A method for triggering the digital device in a closed space may include accessing information related to the closed space and multiple sensor parameters; determining the geographic location of the device based on the multiple sensor parameters; creating a three dimensional grid coordinate system based on the information; compartmentalizing the closed space into one or more compartments based on the information; creating and accessing a user profile; determining a position of the device with respect to the one or more compartments based on the sensor parameters; and triggering the device based on at least the user profile or the position of the device.