Multi-Environment HMI User Indication Recognition
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Solution Overview
Problem
Current Human Machine Interface (HMI) systems are limited in their ability to allow users to interface with multiple environments and provide commands or inquiries regarding points of interest within different or multiple settings.
Innovation Solution
A user indication recognition system that includes sensors and processing devices to detect user gestures and audible indications, determining Points of Interest (POIs) and performing corresponding actions across various environments, using a combination of visual, audio, and telemetry sensors, and processing algorithms to differentiate between inner and outer environment POIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If HMI systems are limited to specific environments with predefined commands, then system complexity is reduced and reliability is improved, but adaptability and versatility are worsened
Solution Approach 1:
The HMI system is designed to operate across multiple environments (vehicle interior, exterior, mobile device contexts) and handle diverse command types (voice, gesture, touch) through a unified processing architecture. The system maintains reliability by applying consistent processing logic across different environments while adapting to environment-specific characteristics through contextual parameters.
Solution Approach 2:
The system dynamically adjusts its operational characteristics based on the detected environment. Different environments (vehicle interior vs. exterior vs. mobile device) trigger different processing modes and command interpretations, allowing the system to adapt its behavior while maintaining a stable core processing framework.
2Adaptability or versatility
If HMI systems support multiple environments and POIs, then adaptability and user capability are improved, but device complexity and processing requirements are worsened
Solution Approach 1:
The system segments the processing architecture into distinct modules: sensor input processing, environment detection, POI identification, command interpretation, and action execution. Each module handles specific tasks independently, reducing overall system complexity while enabling multi-environment support. The segmentation allows parallel processing of multiple POIs across different environments.
Solution Approach 2:
The system introduces intermediary processing layers that translate between different input modalities (voice, gesture, touch) and environment-specific commands. These intermediaries standardize the interface between diverse inputs and the core processing logic, managing complexity while maintaining versatility.
3Loss of information
If HMI systems process multiple POIs across different environments, then information completeness is improved, but processing time and user cognitive load are worsened
Solution Approach 1:
The system performs preliminary processing of sensor inputs and environment detection before full POI identification is required. By pre-processing input signals and detecting environmental context in advance, the system reduces the time required for complete POI identification and command execution when multiple environments are involved.
Solution Approach 2:
The system implements partial processing of POI information based on user needs and context. Rather than processing all possible POIs equally, the system prioritizes relevant POIs in each environment and processes information to the necessary degree of completeness, reducing overall processing time while maintaining information quality.
Data Source
AI summary
Various methods and apparatuses are provided to determine an occurrence of a first user indication and determine a plurality of Points of Interest (POI) corresponding to the first user indication, and to determine an occurrence of a second user indication and responsively determine a narrowed POI from the plurality of POIs. An action corresponding to the narrowed POI and the first and/or second user indication is determined and effected.