Wearable Audio System with Spatialized Feedback for Situational Awareness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wearable devices that provide noise cancellation or soundproofing can lead to users being unaware of important events, such as alarms or verbal communications, due to reduced situational awareness.
Innovation Solution
A method and system that use two or more microphones on a wearable device to measure ambient sound, determine events based on sound levels and location attributes, and provide spatialized feedback to the user, ensuring they remain aware of relevant events without interrupting their audio experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise cancellation or soundproofing is provided by the wearable device, then audio experience quality is improved, but situational awareness deteriorates
Solution Approach 1:
A spatialized audio cue serves as an intermediary signal that conveys event information to the user without disrupting the primary audio experience. The system introduces this intermediate layer of communication that operates alongside the noise cancellation function, allowing users to maintain both immersive audio experience and awareness of important environmental events.
Solution Approach 2:
The spatialized audio cue is positioned at a specific location relative to the user (e.g., front, back, left, right) to indicate the direction of the detected event. This localized quality allows the user to understand where the event is occurring without needing to turn away from or interrupt their current audio experience, thus preserving situational awareness while maintaining audio immersion.
2Reliability
If ambient sound is masked or canceled, then audio experience is enhanced, but detection of important events deteriorates
Solution Approach 1:
The system continuously monitors ambient sound through the wearable device's microphones and provides feedback to the user through spatialized audio cues when important events are detected. This feedback mechanism ensures that users remain informed about their environment without the need to constantly adjust or interrupt their audio experience, solving the contradiction between enhanced audio and event detection.
Solution Approach 2:
The system performs preliminary detection and analysis of ambient sound characteristics before triggering any user notification. By pre-processing the audio signals to identify patterns associated with important events (such as alarms, conversations, or other significant sounds), the system can proactively provide spatialized feedback to users, ensuring they are alerted to important events while maintaining their audio experience.
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 solution effectively provides users with non-intrusive notifications of important events, maintaining situational awareness while allowing users to focus on their audio experience, thus preventing missed alerts or communications.
Implementation Method 1
measuring ambient sound using two or more microphones on the wearable device
Implementation Method 2
playing a spatialized audio cue in addition to the audio content
Data Source
AI summary
Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The measured ambient sound is used to determine a related event worth relaying to the user. Based on the location attribute and sound properties, the nature and/or classification of the event may be ascertained using pattern recognition algorithms according to user threshold settings. Insignificant events that the user prefers to ignore will be ruled out by the algorithm. Upon determining the event that merits the user's attention, the wearable device provides feedback to the user indicating the nature and location of the event.