Motion Recognition Data Acquisition Trigger-Based Filtering
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Solution Overview
Problem
Conventional motion recognition systems face challenges in achieving high accuracy while managing the high power consumption and channel capacity issues associated with high sampling rates, particularly in wireless data transmission.
Innovation Solution
The introduction of an initial motion recognition module and a data storage module in the data acquisition device, which performs initial recognition and selectively stores and transmits motion data only around a predefined range related to a motion trigger point, reducing unnecessary data transmission and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high sampling rate is used to improve motion recognition accuracy, then measurement precision is improved, but wireless power consumption increases and channel capacity is exceeded
Solution Approach 1:
The patent extracts and transmits only the critical motion data segments containing trigger events rather than all raw sensor data. The data acquisition device identifies trigger points in the motion stream and selectively transmits only those segments to the remote device, eliminating unnecessary data transmission and reducing wireless power consumption while preserving motion recognition accuracy.
Solution Approach 2:
The patent segments the continuous motion data stream into discrete relevant segments based on trigger events. Each segment contains motion data around a specific trigger point, allowing the system to transmit only meaningful portions of the high-rate sensor data, thereby reducing overall data volume and power consumption while maintaining measurement precision for critical motions.
2Measurement precision
If high sampling rate is used to improve motion recognition accuracy, then measurement precision is improved, but channel capacity is exceeded
Solution Approach 1:
The system extracts only the essential motion data segments containing trigger events from the high-rate sensor stream. By identifying and extracting only these critical segments for transmission, the patent reduces the quantity of transmitted data well below channel capacity limits while preserving all information necessary for accurate motion recognition of significant events.
Solution Approach 2:
The continuous high-rate motion data is segmented into discrete trigger-based segments. This segmentation approach transforms the data transmission problem from sending entire high-rate streams to sending only relevant event-based segments, dramatically reducing total data volume while maintaining measurement precision for recognized motions.
3Measurement precision
If all motion data is transmitted to maintain high sampling rate, then measurement precision is improved, but device complexity increases due to continuous transmission requirements
Solution Approach 1:
The data acquisition device performs self-service by autonomously identifying trigger events and selecting which data segments to transmit without requiring continuous control or configuration from the remote device. This self-service capability simplifies the overall system architecture by eliminating the need for complex continuous transmission management while preserving high sampling rate benefits for critical motions.
Solution Approach 2:
The system performs preliminary action by pre-processing the motion data stream at the acquisition device to identify trigger points and prepare relevant segments for transmission. This preliminary selection and preparation of data segments simplifies the transmission system by eliminating the need for complex real-time transmission management and reducing the burden on the remote device.
Data Source
AI summary
A data acquisition method and device for motion recognition, a motion recognition system and a computer readable storage medium are disclosed. The data acquisition device for motion recognition comprises: an initial motion recognition module adapted to perform an initial recognition with respect to motion data collected by a sensor and provide motion data describing a predefined range around a motion trigger point to a data storage module for storage; a data storage module adapted to store motion data provided from the initial motion recognition module; and a communications module adapted to forward the motion data stored in the data storage module to a motion computing device for motion recognition. The present invention makes an initial selection to the motion data to be transmitted to the motion computing device under the same sampling rate. Consequently, the present invention reduces pressures on wireless channel transmission and wireless power consumption, and provides high accuracy in motion recognition while providing motion data at the same sampling rate.