Wearable Sensor Control Subsystem for Human-Machine Interaction
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Solution Overview
Problem
Existing systems that employ wearable devices to monitor operator efforts and movements do not effectively control interactions between operators and machines, lacking the ability to link operator data with machine data for real-time feedback and control.
Innovation Solution
A system and method that integrate wearable devices with machine sensors, using a control subsystem with artificial intelligence to analyze data, provide real-time feedback, and optimize operator movements and machine interactions, while employing blockchain for secure data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If wearable devices are used to monitor operator efforts and movements, then operator data can be collected, but the data cannot effectively control interactions between operators and machines
Solution Approach 1:
The system merges operator data from wearable devices with machine data from sensors into a unified control framework. The control subsystem integrates both data streams to enable comprehensive control of human-machine interactions, transforming separate data sources into a coordinated control system that resolves the contradiction between data collection and effective control.
Solution Approach 2:
The system implements a feedback mechanism where operator data and machine data are continuously monitored and used to adjust machine behavior in real-time. The control subsystem processes both data types and generates control signals that feedback to the machine, enabling dynamic adaptation to operator state and resolving the limitation of data utility.
2Reliability
If real-time data analysis is implemented to warn operators of health dangers, then operator safety is improved, but system complexity increases
Solution Approach 1:
The control subsystem acts as an intermediary that processes operator data and machine data through defined algorithms and models. This intermediary layer implements safety analysis and control logic without requiring direct complex interactions between all system components, managing complexity while maintaining safety through structured data processing and control signal generation.
3Productivity
If machine behavior is optimized based on operator state, then interaction efficiency is improved, but data processing requirements increase
Solution Approach 1:
The system pre-processes operator data and machine data into relevant features and parameters before final control decisions are made. By performing preliminary data processing, feature extraction, and pattern recognition in advance, the system reduces the computational load during real-time control while maintaining the ability to optimize machine behavior based on operator state.
Data Source
AI summary
System for controlling at least one interaction between an operator and a machine, which system comprises at least one wearable device which is suitable to be worn by an operator and is provided with one or more sensors comprising one or more surface electromyographic sensors, wherein the wearable device comprises at least one data acquisition system suitable to receive and aggregate the data received from the sensors, at least one data processing system suitable to process the data received from the sensors, at least one data storage system suitable to store the data received from the sensors and/or processed by the data processing system, as well as at least one data display system suitable to display the data received by the sensors and/or processed by the data processing system, wherein the system further comprises one or more sensors suitable to detect parameters or actions of a machine and at least one control subsystem suitable to manage the data received from the sensors of the wearable device and of the machine, wherein the control subsystem comprises at least one data hub module suitable to acquire and aggregate the received data, as well as at least one expert system suitable to analyse the data acquired and aggregated by the data hub module to generate control data according to at least one interaction pattern between operator and machine, wherein the control subsystem also comprises at least one data storage system suitable to store the received data and the results of the processing of these data, wherein said control data can be sent from the control subsystem to the wearable device and/or the machine to control actions of the operator and/or the machine.The present description also relates to a method which can be carried out by means of said system.