Wearable Audio Haptic Motor Segmentation for Frequency Coverage

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Solution Overview

Problem

Existing wearable devices that respond to sound or music often require pairing with audio sources and lack the ability to represent audio frequencies like treble and midranges in real-time through haptic and visual feedback.

Innovation Solution

A device equipped with a microphone that analyzes live audio to generate real-time haptic and visual representations of music's bassline, treble, and midranges using haptic motors and RGB LEDs, without the need for pairing with external audio sources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If wearable devices use subwoofer drivers to respond to bass frequencies, then haptic feedback for bass is improved, but the device cannot represent treble and midrange frequencies

Engineering Contradiction:
Improvefrequency range coverageVSAvoiddriver configuration
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The audio frequency range is segmented into three distinct bands (bass, midrange, treble), each handled by a dedicated haptic motor type. This allows each motor to optimize for its specific frequency range while collectively covering the full spectrum, resolving the contradiction between frequency range coverage and driver configuration complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different regions of the wearable device are assigned different haptic motor types with specialized properties: ERM motors for bass frequencies, linear resonant actuators for midrange, and piezoelectric motors for treble. This local specialization enables comprehensive frequency coverage while maintaining manageable device complexity through functional differentiation.

Inventive Principle:
Principle #3Local quality

2Extent of automation

If devices require pairing with external audio sources, then audio signal acquisition is simplified, but real-time audio analysis capability is reduced

Engineering Contradiction:
Improvereal-time audio analysisVSAvoidpairing requirement
Core Design Contradiction:
Extent of automationVSEase of operation

Solution Approach 1:

The wearable device uses its built-in microphone to autonomously capture and analyze audio signals from the environment without requiring external audio sources or pairing operations. This self-service approach enables real-time audio analysis while eliminating pairing requirements, simultaneously improving automation and ease of operation.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If multiple haptic motor types are used to represent different frequency ranges, then audio representation accuracy is improved, but device complexity increases

Engineering Contradiction:
Improveaudio frequency representation accuracyVSAvoidnumber of haptic motors
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The audio frequency spectrum is segmented into three bands (bass, midrange, treble), with each band handled by a specialized haptic motor type. This segmentation improves frequency representation accuracy by matching motor characteristics to frequency ranges while keeping the total motor count manageable through functional specialization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Each haptic motor type serves multiple functions: it responds to its designated frequency range, contributes to overall audio visualization, and can operate independently or in combination with other motors. This multi-functionality improves audio representation accuracy while preventing device complexity from becoming unmanageable.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

Enables users to experience a more immersive audio representation by converting audio energy into haptic and light feedback, providing a comprehensive audio experience that includes bass, treble, and midrange frequencies without the need for external pairing.

Implementation Method 1

The haptic and/or vibrational representation of the music can be generated in any of a variety of ways, such as by one or more haptic eccentric rotating mass (ERM) motors and/or haptic motors

Methodology Applied
Scientific EffectEccentric rotating mass: Eccentric

Implementation Method 2

haptic motors (e.g., a linear haptic motors or a piezo haptic motor)

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Implementation Method 3

The light representation of the music can be generated via at least one red, blue and green (RGB) light-emitting diode (LED)

Methodology Applied
Scientific EffectLight-emitting diode: Light Emitting Diode

Data Source

PatentUS10595118B2System, method and apparatus for translating, converting and/or transforming audio energy into haptic and/or visual representation
Publication Date: 2020.03.17 BODY BEATS LLC
  • US10595118B2 patent drawing
  • US10595118B2 patent drawing
  • US10595118B2 patent drawing

AI summary

A device can be worn by a user and can include a microphone to analyze music and other sound in the surrounding environment. In one embodiment, the device can translate audio into a haptic and/or light of the sound's or music's bassline, in real-time. In one embodiment, no music is recorded by the device. The haptic or vibrational representation of the music can be generated by a motor. In some examples, the light representation of the music can be generated via a red/green/blue light emitting diode.