Wireless Signal Mapping for Remote User Activity Monitoring
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Solution Overview
Problem
Existing monitoring technologies require multiple devices and protocols, leading to complexity, cost, and security concerns, especially for remote monitoring of sensitive data in healthcare and childcare services.
Innovation Solution
Utilize existing network devices like smartphones and smartwatches to track user parameters using signal strength changes, phase shifts, and biometrics, and train models to map locations, sending alerts to trusted users via messaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized monitoring devices with sensors are installed to enable remote monitoring, then monitoring capability is improved, but system cost and complexity increase
Solution Approach 1:
The patent applies universality by enabling existing multi-functional devices (smartphones, smartwatches, tablets) to serve as monitoring devices. These devices already perform communication, computing, and sensing functions, and the patent extends their functionality to include remote monitoring capabilities through software applications, eliminating the need for dedicated single-function monitoring equipment.
Solution Approach 2:
The monitoring devices utilize their own built-in sensors (accelerometers, gyroscopes, cameras, microphones) and processing capabilities to perform monitoring functions. The devices self-manage data collection, processing, and transmission without requiring external specialized equipment, reducing system complexity and cost.
2Measurement precision
If multiple specialized devices and protocols are used for different monitoring functions, then monitoring precision is improved, but ease of operation deteriorates
Solution Approach 1:
A single monitoring application on existing devices provides multiple monitoring functions (location tracking, activity monitoring, health metrics, communication) through unified access. The application consolidates various monitoring capabilities that would otherwise require separate specialized devices and protocols, making the system easier to operate while maintaining precision through access to multiple sensor types.
Solution Approach 2:
The patent merges multiple monitoring functions and data sources into a single integrated system. Location data from GPS, activity data from accelerometers, health data from biometric sensors, and communication capabilities are combined in one application interface, eliminating the need for users to manage multiple separate systems and protocols.
3Device complexity
If existing network devices are used for monitoring, then device complexity is reduced, but measurement precision may deteriorate
Solution Approach 1:
Existing network devices leverage their own built-in high-precision sensors and processing capabilities to perform monitoring functions. Smartphones and smartwatches contain sophisticated accelerometers, gyroscopes, GPS receivers, and biometric sensors that provide accurate parameter tracking, eliminating the need for external specialized sensing equipment while maintaining measurement precision.
Solution Approach 2:
The patent utilizes multiple different parameters and sensor types (acceleration, orientation, location coordinates, biometric readings) from existing devices to track user status. By diversifying the parameters measured across multiple sensor modalities, the system compensates for individual sensor limitations and maintains overall measurement accuracy while using commonplace devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables secure, cost-effective remote monitoring with accurate location and status updates, reducing the need for additional equipment and system failures.
Implementation Method 1
track one or more parameters associated with a client user, for example, one or more biometrics. For example, a particular network device, such as a monitoring system, can monitor one or more parameters. The one or more parameters can be indicative of one or more locations based on any of a received signal strength value change, an amplitude, a phase shift
Implementation Method 2
The one or more parameters can be indicative of one or more locations based on any of a received signal strength value change, an amplitude, a phase shift
Data Source
AI summary
A monitoring system can be utilized to provide remote services, for example, caregiving services, to a user. The monitoring system can perform a mapping of a site and then use this information along with sensor data to determine a status of the client user. Based on the status, the monitoring system sends a notification to a contact based on a profile configuration associated with the client user. The monitoring system can use any one or more training algorithms, such as a machine learning algorithm, to determine one or more locations of a site associated with a client user. Once these locations are determined the monitoring system is able to provide to the contact accurate and reliable information about the client user so as to improve the services and quality of experience associated with the client user.