Wearable Sensor Array for Stringed Instrument Finger Positioning

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Solution Overview

Problem

Conventional methods for learning and mastering stringed instrument techniques require manual instructor feedback, which is often blunt and lacks precise quantification, hindering effective learning and training.

Innovation Solution

A wearable device with a control unit, sensor array, and finger assemblies that immobilize fingers and analyze user performance data to provide real-time feedback and training regimens, enhancing finger dexterity and technique training.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual instructor feedback is used for stringed instrument learning, then personalized guidance can be provided, but the feedback is blunt and lacks precise quantification

Engineering Contradiction:
Improvefeedback precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical/manual feedback system of human instructors with an automated sensor-based system. Sensors detect finger position, pressure, and movement on the instrument, converting physical actions into quantifiable data that provides precise, objective feedback without requiring manual observation and correction by an instructor.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service learning by providing automated feedback that allows students to independently monitor and correct their own technique. The wearable device and software analyze performance metrics and deliver real-time guidance, reducing dependence on continuous instructor supervision while maintaining high measurement precision.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If automated sensor systems are implemented for precise feedback, then measurement precision improves, but device complexity increases

Engineering Contradiction:
Improveperformance measurement precisionVSAvoidwearable device complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system is divided into modular components: a wearable device with sensors that attaches to the instrument, a separate processing system that analyzes data, and a feedback interface. This segmentation allows the wearable component to remain relatively simple while achieving high measurement precision through the coordinated operation of multiple specialized components.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The wearable device incorporates multiple sensors that serve different functions simultaneously - detecting finger position, applied pressure, and movement dynamics. This multi-functionality consolidates what would otherwise require separate measurement systems into a single integrated wearable unit, managing complexity while maintaining comprehensive measurement capability.

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

Data Source

PatentUS10186166B2Enhancing stringed instrument learning with a wearable device
Publication Date: 2019.01.22 GIALAMAS ANGELOS
  • US10186166B2 patent drawing
  • US10186166B2 patent drawing
  • US10186166B2 patent drawing

AI summary

Enhanced stringed instrument learning is provided by a wearable device. A control unit comprising a processor and a memory device is integrated with a frame, of the wearable device, formed to fit over a hand of a user while playing a stringed instrument. A finger assembly is provided each finger of the hand and is coupled to the frame to immobilize a finger of the hand while playing the stringed instrument. A sensor array is coupled to each finger assembly and to the control unit to determine at least a positioning of fingers on the stringed instrument. The sensor also sends user performance data to the control unit. The control unit analyzes the user performance data and outputs feedback to the user based on the performance data analysis.