Mobile Device Positional State Identification via Audio Pulse Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile devices lack technology to determine their positional state, leading to ineffective communication with users and inefficient resource consumption, which can result in reduced battery life and missed notifications.
Innovation Solution
The system generates an output audio pulse and detects an input audio pulse using the device's microphone to evaluate positional features, allowing the device to adjust operating characteristics such as power, notifications, and data usage based on the identified state, using a classifier trained with user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the mobile device operates in high power mode continuously, then processing performance is maintained, but power consumption increases and battery life decreases
Solution Approach 1:
The system dynamically adjusts the mobile device's power state based on real-time positional state detection. The processor transitions between high performance mode and power save mode according to whether the device is in a pocket, bag, or on a surface, optimizing the balance between processing performance and power consumption.
Solution Approach 2:
The system changes operational parameters by detecting positional features through audio pulses and using a classifier to determine positional state. Based on the classified state, the system adjusts power consumption parameters, notification characteristics, and data usage characteristics to match the detected context.
2Reliability
If the device uses loud audio notifications, then user attention is captured effectively, but user comfort may be compromised in quiet environments
Solution Approach 1:
The system adjusts notification parameters including volume level and notification type based on the detected positional state. When the device is classified as being on a surface or in a pocket, the notification characteristics are modified to be less intrusive, while maintaining effectiveness when the device is in active positions.
Solution Approach 2:
The system uses a classifier that can be trained with user feedback to improve notification delivery. User responses to notifications in different positional states are fed back into the system to refine the classification model and optimize future notification behavior.
3Measurement precision
If additional sensors are added to detect positional state, then positional accuracy improves, but device complexity and cost increase
Solution Approach 1:
The system uses the mobile device's existing audio components (speaker and microphone) to perform positional state detection. By generating audio pulses through the speaker and capturing reflections through the microphone, the device leverages its own built-in hardware without requiring additional external sensors.
Solution Approach 2:
The audio speaker and microphone are used for their primary communication functions while simultaneously serving dual purposes for positional state detection. This multi-functionality allows the same hardware components to perform both audio output/input and environmental sensing tasks.
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 user experience by ensuring notifications are noticed and reduces power consumption by optimizing resource usage based on the device's position, such as transitioning to a power save mode when in a bag or pocket.
Implementation Method 1
An output audio pulse may be generated from a speaker of a mobile device. An input audio pulse, corresponding to the output audio pulse, may be detected utilizing a microphone of the mobile device.
Implementation Method 2
The output audio pulse and the input audio pulse may be evaluated to determine a positional feature associated with the mobile device
Data Source
AI summary
One or more systems and/or methods for identifying a positional state of a mobile device are provided. An output audio pulse may be generated from a speaker of a mobile device. An input audio pulse, corresponding to the output audio pulse, may be detected utilizing a microphone of the mobile device. The output audio pulse and the input audio pulse may be evaluated to determine a positional feature associated with the mobile device. The positional feature may be evaluated using a classifier to identify a positional state of the mobile device (e.g., the mobile device may be laying on a table, inside a user's jacket pocket, within a vehicle, etc.). In an example, an operating characteristic of the mobile device may be adjusted based on the positional state of the mobile device (e.g., a ringer volume may be increased, a content recommendation may be displayed, etc.).