AR Camera Gesture Control for Paired IoT Devices
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Solution Overview
Problem
Existing systems lack efficient methods for users to interact with IoT devices using augmented reality (AR) cameras, limiting immersive and intuitive control over smart home devices.
Innovation Solution
AR camera devices are integrated with object recognition technology and backend servers to detect user gestures and interactions, allowing direct control of IoT devices through NFC or Bluetooth Low Energy communication, and enabling context-aware responses based on weather and location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional remote controls or mobile apps are used to control IoT devices, then device control functionality is achieved, but user interaction immersion and intuitiveness are limited
Solution Approach 1:
The patent introduces an AR camera device as an intermediary between the user and IoT devices. The camera captures real-world scenes, overlays AR interfaces, and translates user gestures into control commands. This mediator enables immersive interaction by allowing users to control devices through natural gestures in the physical space, eliminating the need for traditional remote controls or mobile apps while maintaining system manageability through automated object recognition and gesture interpretation.
2Ease of operation
If AR camera devices with object recognition are integrated to enable gesture-based control, then user interaction intuitiveness is enhanced, but device complexity and processing requirements increase
Solution Approach 1:
The AR camera device is designed as a universal platform that performs multiple functions: capturing real-world video feeds, recognizing objects and scenes, tracking user gestures, generating AR overlays, and translating gestures into IoT control commands. This multi-functional design consolidates what would otherwise require separate systems (camera, AR display, gesture recognition engine, and IoT protocol translator) into a single integrated device, enhancing control intuitiveness while managing system complexity through unified architecture.
Solution Approach 2:
The system implements self-service through automated object recognition and gesture interpretation. The AR camera device automatically identifies objects in the scene, determines their spatial relationships, recognizes user gestures without explicit programming, and maps gestures to appropriate IoT commands. This self-service capability reduces the need for manual configuration and complex system integration, as the device autonomously handles the complexity of translating physical gestures into digital control signals.
3Speed
If direct control through NFC or Bluetooth Low Energy communication is implemented, then response speed is improved, but communication protocol compatibility and device pairing complexity increase
Solution Approach 1:
The AR camera device serves as a communication intermediary that handles protocol translation and device pairing. It maintains communication profiles for multiple protocols (NFC, Bluetooth Low Energy, Wi-Fi) and automatically selects the appropriate protocol based on the target IoT device. The camera device manages the complexity of protocol compatibility and pairing procedures, allowing users to control devices through simple gestures while the system handles the underlying communication complexity, thus achieving fast response speeds without exposing users to protocol complexity.
4Adaptability or versatility
If context-aware responses based on weather and location data are enabled, then interaction intelligence is enhanced, but data processing requirements and system resource consumption increase
Solution Approach 1:
The system implements partial context-awareness by selectively processing weather and location data based on the specific IoT device being controlled and the current user gesture. Rather than continuously analyzing all available context data, the system processes only the relevant portions needed for the current interaction. For example, when controlling a smart thermostat, weather data is prioritized, while location data may be minimized. This partial processing approach maintains context-awareness and adaptability while reducing overall energy consumption compared to comprehensive continuous analysis of all context parameters.
Data Source
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AI summary
Systems and methods for interfacing augmented reality (AR) camera devices to Internet of Things (IoT) devices include pairing an AR camera device to an IoT device to establish which actions recognized by the AR camera device may control the IoT device, receiving an action identifier representing a gesture or position of a body part that has been recognized by the AR camera device, and sending a command to the IoT device paired with the AR camera device to perform a requested action in response to the action identifier received from the AR camera device. Context information relating to the action identifier from the AR camera may be used to modify the command sent to the IoT device. The AR camera device may be paired with an IoT device pointed at by the AR camera device, selected through a user interface of the AR camera device, or determined from context information.