Wearable Sensor Hub for Mistreatment Detection
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Solution Overview
Problem
There is a need for a reliable system to prevent mistreatment of vulnerable individuals in care by providing immediate notification and evidence of abuse to concerned parties, as existing solutions do not adequately guarantee the safety and well-being of those receiving care.
Innovation Solution
A wearable device with sensors and a wireless hub system that uses accelerometers, microphones, and a panic button to detect and record potential mistreatment, connected via Bluetooth and a SIM card for network access, allowing real-time notification and live feed access to non-wearer users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wearable device with sensors is used to detect mistreatment, then the ability to detect and record abuse is improved, but the device complexity increases
Solution Approach 1:
The system is divided into two separate devices: a wearable sensor unit worn by the vulnerable individual and a stationary hub unit. This segmentation allows the wearable device to remain relatively simple while the hub handles complex processing, recording, and communication functions, thus resolving the contradiction between detection reliability and device complexity.
Solution Approach 2:
The hub acts as an intermediary between the simple wearable sensor and the external monitoring system. It receives data from the wearable device, processes it, stores recordings, and communicates with remote monitoring centers, thereby allowing the wearable device to maintain simplicity while achieving reliable detection and notification capabilities.
2Reliability
If continuous monitoring and recording is implemented, then the ability to provide evidence is improved, but the energy consumption increases
Solution Approach 1:
The system uses periodic action by having the wearable sensor continuously monitor but only triggering recordings when specific events occur (such as falls, violent shaking, or sudden movements). The hub records audio and video periodically based on sensor alerts rather than continuously, significantly reducing energy consumption while maintaining reliable evidence provision when needed.
Solution Approach 2:
The wearable sensor performs preliminary detection of abnormal events using accelerometers and other sensors, and only then initiates the energy-intensive recording process. This preliminary action filter ensures that recording occurs only when necessary, reducing overall energy consumption while maintaining the ability to provide evidence when abuse occurs.
3Loss of time
If immediate notification of abuse is implemented, then the response time is improved, but the false alarm rate may increase
Solution Approach 1:
The system implements feedback mechanisms where the hub receives sensor data, analyzes it against predefined thresholds, and provides feedback by triggering notifications only when genuine abuse events are detected. The continuous monitoring and analysis create a feedback loop that maintains fast response time while filtering out false alarms through intelligent event detection algorithms.
Solution Approach 2:
The system uses parameter changes by setting specific thresholds for sensor readings (such as acceleration levels, movement patterns, or sound decibels) that must be exceeded to trigger a notification. These adjustable parameters allow the system to respond immediately to genuine abuse while reducing false alarms by requiring specific parameter thresholds to be met before notification is sent.
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
The system effectively detects and records incidents of mistreatment, providing immediate notification and evidence to prevent further abuse, offering peace of mind for caregivers and ensuring timely action can be taken.
Implementation Method 1
The sensors of the wearable device may comprise an accelerometer for detecting signals indicative of the user falling, violent shaking of the user, and/or sudden movement of the user
Data Source
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AI summary
A monitoring system for gathering evidence of and generating an alert to the mistreatment of a person in care comprising: a wearable device worn by a user comprising sensors to detect signals indicative of possible mistreatment of the user, the sensors including a microphone; a hub device wirelessly connected to the wearable device and with access to an independent communication network, the hub also comprising means for monitoring and recording the possible mistreatment of the user; configured such that, in use, when the wearable device detects possible mistreatment of the user a wireless communication is made between the wearable device and the hub instructing the hub to start recording the possible mistreatment of the user, and the hub further sends a notification via the independent communication network to a non-wearer user alerting them of the possible mistreatment of the user and allowing the non-wearer user to view the recording of the possible mistreatment of the user; and further configured such that when the wearable device detects a possible mistreatment incident, but is out of communication range with the hub, the microphone of the wearable device records the sound of the potential mistreatment incident, and once the wearable device is back in communication range with the hub, transfers the recording of the potential mistreatment incident to the hub, wherein the hub then sends a notification to the non-wearer user.