Acoustic Sitting Posture Sensing With Distributed RF Nodes
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Solution Overview
Problem
Existing solutions for detecting improper sitting posture are either obtrusive or lack accuracy and robustness, failing to provide timely warnings for ergonomic issues that can lead to health problems over time.
Innovation Solution
A network of network devices using sound generators and detectors communicate via RF signals to detect sitting posture by generating and propagating sound through a sensing area, allowing for non-obtrusive and accurate estimation of hip and head positions, with optional fall detection and alerts for abnormal postures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera-based or pressure sensor-based solutions are used for detecting improper sitting posture, then detection capability is provided, but the solutions are obtrusive or lack accuracy and robustness
Solution Approach 1:
The patent replaces mechanical sensing systems (camera-based visual detection and pressure sensor-based detection) with an acoustic field-based system. Sound waves are emitted by speakers and detected by microphones to infer sitting posture through acoustic reflections and interactions with the body, eliminating the need for obtrusive mechanical sensors while improving detection accuracy and robustness.
Solution Approach 2:
The patent introduces sound waves as an intermediary medium to detect sitting posture. Instead of directly observing the subject with cameras or pressure sensors, the system uses sound waves that interact with the subject's body and environment, and analyzes the acoustic responses to determine posture. This intermediary approach enables non-contact, non-obtrusive detection while maintaining accuracy.
2Reliability
If existing posture detection systems are deployed, then posture monitoring is achieved, but timely warnings for ergonomic issues are not provided
Solution Approach 1:
The patent implements a feedback mechanism where the acoustic sensing system continuously monitors sitting posture in real-time, and the control unit provides timely feedback by generating audio or visual alerts when improper posture is detected. This closed-loop feedback system enables immediate warning to the user, allowing for timely correction of ergonomic issues and improving health outcomes.
Solution Approach 2:
The system performs preliminary detection and warning before serious health issues develop. By continuously monitoring posture and providing early warnings for improper positioning, the system enables preventive action to avoid the development of ergonomic injuries over time, rather than reacting after damage has occurred.
3Measurement precision
If sound-based sensing is implemented with multiple network devices, then non-obtrusive and accurate sensing is achieved, but system complexity increases
Solution Approach 1:
The patent divides the sensing system into multiple independent network devices (speakers and microphones distributed throughout the space), each performing simple local functions of sound emission or detection. The complexity is segmented across multiple simple nodes rather than concentrated in a single complex system, enabling accurate 3D positioning through distributed measurements while keeping individual device complexity low.
Solution Approach 2:
The patent employs universal network devices (standard speakers and microphones) that can perform multiple functions: sound generation for acoustic sensing, audio output for user communication, and network connectivity for data transmission. This multi-functionality reduces overall system complexity by eliminating dedicated components for each function.
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 provides precise, non-intrusive monitoring of sitting posture, reducing audio pollution, and issuing timely alerts for ergonomic issues, enhancing user health and safety, particularly for vulnerable populations like the elderly.
Implementation Method 1
The sound generator generates a sound signal and the sound detectors detect the sound signal after a propagation through at least a portion of the sensing area
Implementation Method 2
the sound signal after a propagation through at least a portion of the sensing area
Data Source
AI summary
A system for providing a sound-based sensing of subjects comprising a network (10) of network devices (100) configured to perform a sound-based sensing. The network devices (100) are distributed in a sensing area (20) and communicate with each other based on RF signals. At least one network device (100) comprises a sound generator (120) to generate a sound signal (100) and/or a sound sensor (130) to detect the sound signal (101) from the sound generator (120) after a propagation through at least a portion of the sensing area (20) and to generate a sensing signal indicative of the detected sound signal. The sound generator (120) and the sound sensor (130) are arranged in different network devices (100). A sitting position detector (200) detects a sitting position of a subject in a sensing area based on the sensing signal from the sound sensor (130).