VR Device Operation Control Through IoT Ambient Adjustment
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Solution Overview
Problem
VR devices experience discontinuities in operation due to ambient parameter changes, leading to suboptimal performance and user experience, as sensors irregularly start and stop, provide inconsistent readings, and fail to co-relate multiple sensor values, requiring manual user intervention to adjust ambient conditions.
Innovation Solution
A system that identifies discontinuities in VR device operations using IoT devices to modify ambient parameters, including a discontinuity detector, correlator, and fixer modules to control IoT device characteristics for seamless operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensors operate in varying ambient conditions, then the VR device can function in different environments, but sensor performance becomes inconsistent and discontinuous
Solution Approach 1:
The system continuously monitors sensor data quality and ambient conditions, using feedback loops to detect discontinuities and trigger corrective actions. The discontinuity detector module analyzes sensor data streams in real-time, and when degradation is detected, the system adjusts ambient parameters or notifies the user to restore optimal conditions
Solution Approach 2:
The system changes physical parameters of the ambient environment (illumination, temperature, humidity) to optimal values for sensor operation. By controlling IoT devices to adjust these parameters, the system maintains sensor performance consistency across different initial environmental conditions
2Reliability
If manual user intervention is required to adjust ambient conditions, then sensor performance can be optimized, but user experience is disrupted and complexity increases
Solution Approach 1:
The system performs self-diagnosis and self-correction by automatically detecting sensor discontinuities and adjusting ambient conditions through connected IoT devices. The discontinuity detector and correlator modules work autonomously to identify problems and the system automatically notifies or adjusts conditions without requiring user understanding of technical parameters
Solution Approach 2:
The system introduces an intermediary automation layer between the sensor and the ambient environment. This layer (comprising the discontinuity detector, correlator, and fixer modules) mediates by automatically adjusting ambient parameters or notifying users, eliminating the need for direct user intervention in technical adjustments
3Quantity of substance
If multiple sensors operate simultaneously, then comprehensive data collection is achieved, but data correlation becomes difficult and discrepancies increase
Solution Approach 1:
The correlator module serves multiple functions: it receives data from diverse sensor types (light, temperature, humidity, motion), normalizes different data formats, identifies correlations between parameters, and detects discontinuities across all sensor streams. This multi-functional approach enables comprehensive data integration while maintaining correlation accuracy
Data Source
AI summary
A method for a Virtual Reality (VR) device in an Internet of Things (IoT) environment, the method may include: obtaining sensor data from the VR device; identifying at least one discontinuity in at least one operation associated with the VR device while a user is using the VR device, based on the sensor data; determining at least one ambient parameter around the VR device causing the at least one discontinuity in the at least one operation; identifying at least one IoT device capable of modifying the at least one ambient parameter; and controlling one or more operational characteristics of the at least one IoT device to modify the at least one ambient parameter around the VR device to reduce the at least one discontinuity in the at least one operation.