IoT Voice Interface Inferring Implicit Commands

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Solution Overview

Problem

Conventional human interface devices for the Internet of Things (IoT) do not fully utilize interconnectedness with external sensors to infer user intent from a combination of commands and sensor data, limiting their ability to send instructions to other devices effectively.

Innovation Solution

An IoT human interface device that receives voice input, identifies explicit and implicit commands, and generates instructions for applicable IoT devices using a combination of explicit and implicit commands, leveraging sensors and AI to determine user intent and communicate with multiple IoT devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional human interface devices are used for IoT control, then device simplicity is maintained, but user intent interpretation accuracy deteriorates

Engineering Contradiction:
Improveuser intent interpretation accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the intent interpretation function into multiple independent components: explicit command extraction from voice input, implicit command inference from sensor data, and combination logic. This allows complex analysis to be performed through modular processing units rather than a monolithic system, improving accuracy while managing complexity through functional decomposition

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary processing layer that combines explicit commands with sensor data (environmental context, user behavior patterns, device state) to infer implicit intentions. This intermediary analysis layer acts as a mediator between raw input and device control, enhancing interpretation accuracy without requiring direct complex processing at the interface device level

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If sensor data integration is added to infer user intent, then command interpretation accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvecommand interpretation accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements a universal sensor integration framework that can process multiple sensor types (environmental sensors, motion sensors, biometric sensors) through a common interpretation architecture. This multi-functional approach allows the same system structure to handle diverse sensor inputs, improving command interpretation accuracy while avoiding the need for separate processing paths for each sensor type, thus controlling system complexity

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

3Adaptability or versatility

If multiple IoT devices are controlled through a single interface, then system coordination capability is improved, but interface complexity increases

Engineering Contradiction:
Improvesystem coordination capabilityVSAvoidinterface complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements self-service mechanisms where IoT devices automatically provide their own status information, capabilities, and control interfaces through standardized protocols. The human interface device queries and receives this information autonomously, reducing the burden on the user to manually configure or monitor each device. This self-configuration capability enhances multi-device coordination while keeping the user interface simple

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10832665B2Internet of things (IoT) human interface apparatus, system, and method
Publication Date: 2020.11.10 CENTURYLINK INTELLECTUAL PROPERTY LLC
  • US10832665B2 patent drawing
  • US10832665B2 patent drawing
  • US10832665B2 patent drawing

AI summary

Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, microphones of an IoT human interface device might receive user voice input. The IoT human interface device and/or a computing system might identify explicit commands in the voice input, identify first IoT-capable devices to which the explicit commands are applicable, receive sensor data from IoT sensors, and analyze the voice input in view of previous user voice inputs and in view of the sensor data to determine whether the voice input contains any implicit commands. If so, second IoT-capable devices to which an implicit command is additionally applicable might be identified, instructions based on a combination of the explicit and implicit commands may be generated and sent to the second IoT-capable devices. Instructions based only on the explicit commands are generated and sent to first IoT-capable devices to which implicit commands are not applicable.