Sensor Data Analysis for Mobile Thing Motion Activity Identification
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Solution Overview
Problem
Current electronic messaging systems lack the capability to accurately identify a mobile thing (MT) and its associated motion activities (MTMA) using sensor data from wireless communication devices, limiting the initiation of intelligent actions.
Innovation Solution
The development of systems and methods that utilize sensors like accelerometers, gyroscopes, and GPS receivers to detect and identify MTs and MTMAs, enabling intelligent actions based on user preferences and sensor data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from wireless communication devices is used to identify mobile things and motion activities, then the intelligence and accuracy of electronic messaging systems is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
A server acts as an intermediary between multiple wireless communication devices and the electronic messaging system. The server receives sensor data from devices, performs the complex analysis to identify mobile things and motion activities, and returns results to the messaging system. This mediator approach centralizes the computational complexity away from individual devices while maintaining high identification accuracy.
Solution Approach 2:
The system divides the identification task into segments: individual wireless communication devices collect sensor data locally, then transmit it to a central server for analysis. This segmentation allows each device to remain relatively simple while the collective system achieves high identification accuracy through distributed data collection and centralized processing.
2Reliability
If multiple sensors are utilized to detect MT and MTMA, then the reliability of detection is improved, but the use of energy and device complexity increase
Solution Approach 1:
The server performs multiple functions: it stores sensor data from various devices, analyzes the data to identify mobile things, determines motion activities, and provides results to the electronic messaging system. By consolidating these multiple functions in a single multi-functional platform, the system achieves high detection reliability without requiring each individual device to independently perform all functions, thereby reducing overall energy consumption.
3Adaptability or versatility
If sensor data analysis is performed to enable intelligent actions, then the adaptability of the messaging system is improved, but the loss of time for data processing increases
Solution Approach 1:
The server performs preliminary analysis of sensor data by continuously monitoring and pre-identifying mobile things and their motion activities before specific messaging events occur. This preliminary action allows the electronic messaging system to quickly retrieve pre-analyzed information and adapt its behavior without experiencing the full processing delay, thereby maintaining high adaptability while reducing perceived processing time.
Data Source
AI summary
Systems, apparatus, and methods are disclosed for accurately identifying a mobile thing motion activity (MTMA; e.g., stationary, walking, running, biking, driving, etc.) associated with a mobile thing (MT) using sensor data from one or more sensors associated with a wireless communication device (WCD) transported by the MT, so as to enable targeted selection and communication of an advertisement that is suited for the identified MTMA. The one or more sensors produce sensor data indicative of physical movement of the WCD in three dimensional space and may include, for example, one or more of the following: an accelerometer, gyroscope, magnetometer, etc.