Edge Computing Haptic Wearables for Chord Instrument Finger Training

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Traditional musical training methods require skilled instructors and struggle with inconsistencies in feedback, leading to frustration and plateaued progression for musicians.

Innovation Solution

A musical training system utilizing a wearable device to track finger positions and provide real-time haptic feedback based on comparisons with optimal finger positions, facilitated by an edge network for efficient data processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional musical training methods are used, then detailed and sophisticated feedback can be provided, but the system requires skilled instructors which creates inconsistencies and frustration

Engineering Contradiction:

Improvefeedback precisionVSAvoidinstructor dependency

Core Design Contradiction:

Measurement precisionVSExtent of automation

Solution Approach 1:

The system enables self-service musical training by using wearable devices to automatically track finger positions and provide real-time haptic feedback. The wearable device serves itself by collecting data, processing it through edge computing, and delivering corrections without requiring an instructor's presence or intervention.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent implements continuous feedback mechanisms where the system compares real-time finger position data against optimal positions and provides immediate haptic feedback through vibrations. This closed-loop feedback system allows musicians to correct their technique autonomously based on objective measurements.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If skilled instructors provide training, then personalized feedback can be given, but inconsistencies between instructors result in plateaued progression

Engineering Contradiction:

ImprovepersonalizationVSAvoidfeedback consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system creates a digital copy of optimal finger positions and movements through wearable sensors. By recording and analyzing the precise movements of skilled musicians, the system generates standardized reference models that can be consistently replicated across all students, eliminating the variability inherent in human-to-human instruction.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical system of human instruction with an automated electronic system. Wearable devices with sensors and actuators substitute for the instructor's physical presence and subjective judgment, providing objective, consistent feedback based on precise measurements rather than human perception and communication.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Extent of automation

If wearable devices track finger positions, then real-time feedback can be provided without instructors, but the device complexity increases

Engineering Contradiction:

Improveinstructor independenceVSAvoidwearable system complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The system divides the training function into separate modular components: wearable sensors for data collection, edge computing for processing, and haptic actuators for feedback. This segmentation allows each component to be optimized independently and simplifies the overall system architecture compared to a monolithic approach.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent adds the dimension of haptic feedback to the traditional unidirectional sensor-to-display model. By incorporating tactile vibrations that physically guide the user's fingers, the system creates a bidirectional communication loop that enhances learning effectiveness without requiring complex visual displays or audio outputs.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

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 detailed and personalized musical training without the need for an instructor, providing real-time feedback that enhances learning and progression, thereby improving musical skills effectively.

Implementation Method 1

The wearable device can include one or more sensors configured to track the user finger positions

Methodology Applied

Scientific EffectSensor detection:

Implementation Method 2

The haptic feedback includes a directed vibration to instruct the user to move one or more fingers in a desired direction

Methodology Applied

Scientific EffectVibration: Vibration

Data Source

PatentUS20250292701A1Edge computing and haptic chord instrument teaching and learning

Publication Date: 2025.09.18 SAINT LOUIS UNIV

AI summary

Provided herein is a musical training system associated with an edge network. The musical training system can include a wearable device operable to track user finger positions and provide haptic feedback to the user, one or more processors connected to the edge network, and a memory storing instructions that, when executed by the one or more processors, causes the one or more processers to: receive user finger positions from the wearable device, compare the user finger positions to stored optimal finger positions, and cause the wearable device to provide haptic feedback to the user based on the comparison of the user finger position to the stored optimal user finger positions.