Multi-Sensor Link Detection for Human-Device Action Initiation
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Solution Overview
Problem
Existing human-machine interaction systems are inefficient in dynamic environments with multiple people and devices, lacking flexibility, reliability, and user-friendly operation.
Innovation Solution
An apparatus and method that utilize multiple sensors to detect real-world bi-directional information exchange links between entities, using different sensor modalities to determine directions and orientations, and initiate actions based on these links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a direct link between one person and a single device is used for interaction, then the interaction efficiency is improved, but the system cannot handle dynamic environments with multiple people and devices
Solution Approach 1:
The system segments the interaction space by detecting directional links between entities. Each entity (person or device) is treated as a separate node, and interaction links are segmented based on spatial orientation and directionality. This allows the system to handle multiple simultaneous interactions without confusion, as each link is independently identified and managed.
Solution Approach 2:
The system introduces an intermediary detection mechanism that identifies bi-directional information exchange links between entities. This intermediary layer analyzes sensor data to determine whether a meaningful interaction link exists between any two entities, enabling the system to route commands and responses appropriately in multi-entity environments.
2Reliability
If multiple sensors with different modalities are used to detect entity properties, then the detection reliability is improved, but the computational burden increases
Solution Approach 1:
The system performs preliminary processing of sensor data by determining entity properties (such as position, orientation, and identity) before attempting to detect interaction links. This preliminary action organizes the data in a structured format, making subsequent link detection more efficient and reducing the computational burden of analyzing raw multi-sensor data.
Solution Approach 2:
The system transitions from analyzing individual sensor modalities separately to integrating data across multiple dimensions (different sensor modalities) to detect bi-directional links. By considering spatial, temporal, and modal dimensionalities together, the system achieves more reliable detection while managing computational complexity through structured multi-dimensional analysis.
Data Source
AI summary
An apparatus comprises a first sensor (101) and second sensor (103) arranged to determine a first and second set of properties for entities being devices or persons, the sets being determined in accordance with different sensor modalities. A first processor (105) determines directions between entities and a second processor (107) determines an orientation of an entity. A first detector (109) detects a bi-directional information exchange link between a first person and another entity out of a plurality of possible bi-directional information exchange links between entities in response to the directions and the at least one orientation. An initiator (111) initiates an action in response to the detection of the bi-directional information exchange link. The detection of the bi-directional information exchange link is in response to the first set of properties and the second set of properties.