UWB Human Activity Detection for Wellness Alerts
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Solution Overview
Problem
Existing IoT systems face limitations in accurately detecting human activity and providing wellness alerts due to issues with camera frame quality, view angles, obstructions, and the reliance on wearable devices, which can be unreliable or unresponsive.
Innovation Solution
A method and system utilizing Ultra-Wideband (UWB) based human activity detection to identify physical profiles, monitor activities, and track IoT device states, predicting potential anomalous events and providing wellness risk alerts or solutions by correlating user profiles with environmental and device data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cameras are used to identify persons and activities, then person identification and activity detection can be achieved, but detection accuracy deteriorates due to poor frame capture quality, limited view angle, and obstructions
Solution Approach 1:
The patent replaces optical-based camera systems with UWB (Ultra-Wideband) radio frequency technology for human activity detection. This substitution eliminates the fundamental limitations of cameras including poor frame capture quality, limited view angles, and susceptibility to obstructions. The UWB system uses electromagnetic wave propagation and reflection characteristics to detect human presence, movement patterns, and activities with higher reliability and accuracy, directly resolving the technical contradiction between measurement precision and reliability.
2Duration of action of moving object
If wearable devices are used to monitor activity and provide alerts, then continuous monitoring can be achieved, but system reliability deteriorates when the device is not worn or is charging
Solution Approach 1:
The patent introduces UWB anchors and tags as intermediary devices that enable passive, contactless monitoring. Instead of relying on the user to wear and interact with a wearable device, the system uses UWB technology to automatically detect and track human presence and activities in the environment. This intermediary approach ensures continuous monitoring without user intervention and maintains high reliability for alert delivery, as the system detects activities objectively rather than depending on user compliance with wearing the device.
3Loss of information
If camera-based systems are used for activity detection, then visual information can be captured, but privacy concerns increase due to continuous video recording and image processing
Solution Approach 1:
The patent replaces camera-based visual monitoring with UWB radio frequency detection. This substitution captures activity information through electromagnetic wave interactions with human bodies, tracking parameters such as presence, movement patterns, speed, and activity type without capturing visual images or video. This approach maintains the ability to detect and analyze activities while fundamentally eliminating privacy concerns associated with continuous visual recording and image processing.
Data Source
AI summary
A method, and electronic device for providing human wellness recommendation based on Ultra-Wideband (UWB) based human activity detection are provide. The method include identifying a physical profile of each user present IoT environment, monitoring a current activity of each user in the IoT environment and one or more locations associated with the current activity, tracking an operational state of one or more IoT devices at the one or more locations within the IoT environment, predicting a potential anomalous event by correlating the physical profile of each user with at least one of the current activity of each user, the one or more locations associated with the current activity, a state of environment at the one or more locations associated, and the operational state of the one or more IoT devices, and providing at least one of wellness risk alert and/or wellness solution to at least one user.