Neuromuscular Wrist Sensing for Precise XR Object Throwing

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Solution Overview

Problem

Existing technologies face challenges in accurately and efficiently controlling physical objects in augmented and virtual reality environments using neuromuscular signals, particularly due to noise interference and the need for precise muscle activation detection.

Innovation Solution

The implementation of neuromuscular sensors and signal processing techniques to generate musculoskeletal representations and provide real-time feedback, enabling accurate control of objects in extended reality environments by mitigating noise interference and improving muscle activation detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If neuromuscular sensors are used to detect muscle activation in XR environments, then control precision is improved, but noise interference increases

Engineering Contradiction:

Improvemuscle activation detection accuracyVSAvoidnoise interference

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent introduces intermediate signal processing components including filters and processors that act as mediators between the neuromuscular sensors and the control system. These intermediaries process the raw sensor signals to extract meaningful muscle activation patterns while filtering out noise, thus resolving the contradiction between detection accuracy and noise interference

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms where the processed neuromuscular signals are continuously monitored and adjusted. The feedback loop allows the system to adapt to varying noise conditions and optimize the detection threshold, maintaining high measurement precision while compensating for noise interference in real-time

Inventive Principle:

Principle #23Feedback

2Measurement precision

If multiple sensors are deployed to improve control accuracy, then measurement precision increases, but device complexity increases

Engineering Contradiction:

Improveobject control accuracyVSAvoidsensor system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the control system into segmented functional modules: sensor arrays for detecting specific muscle groups, dedicated signal processing units for each sensor type, and hierarchical control layers. This segmentation allows multiple sensors to be deployed with improved precision while managing complexity through modular architecture

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs universal sensor nodes and processing algorithms that can handle multiple types of neuromuscular signals. Each sensor unit is designed with multi-functionality to detect various muscle activation patterns, reducing the need for specialized components and thereby controlling overall system complexity despite using multiple sensors

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250378652A1Sensors for accurately throwing objects in an extended-reality environment, and systems and methods of use thereof

Publication Date: 2025.12.11 META PLATFORMS TECHNOLOGIES LLC

AI summary

The disclosed system for tracking user movements while a user is interacting with a virtual object may include (1) obtaining tracking information by tracking, via a sensor, a position of an arm of the user and (2) in conjunction with tracking the position of the arm, obtaining wrist information by detecting, via a neuromuscular-signal sensor, (i) a movement of a wrist of the arm and (ii) assigning one or more motion characteristics to the virtual object in accordance with the tracking information and the wrist information.