18268498. SENSOR, ESTIMATION METHOD, AND SENSOR SYSTEM simplified abstract (Panasonic Intellectual Property Management Co., Ltd.)
Contents
- 1 SENSOR, ESTIMATION METHOD, AND SENSOR SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SENSOR, ESTIMATION METHOD, AND SENSOR SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SENSOR, ESTIMATION METHOD, AND SENSOR SYSTEM
Organization Name
Panasonic Intellectual Property Management Co., Ltd.
Inventor(s)
Takeshi Nakayama of Hyogo (JP)
Nobuyuki Shiraki of Osaka (JP)
SENSOR, ESTIMATION METHOD, AND SENSOR SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18268498 titled 'SENSOR, ESTIMATION METHOD, AND SENSOR SYSTEM
Simplified Explanation
The patent application describes a sensor that analyzes reception signals, including reflection signals from a living body, to determine the presence of a living body based on complex transfer functions.
- The sensor extracts complex transfer functions from reception signals to analyze propagation characteristics between transmission and reception antenna elements.
- It uses a correlation matrix based on living-body component complex transfer functions and steering vectors to identify the presence of a living body at a specific position.
Potential Applications
This technology could be applied in various fields such as healthcare, security, and smart home systems for detecting human presence or monitoring vital signs remotely.
Problems Solved
This technology solves the problem of accurately detecting the presence of a living body in a specific location using complex transfer functions and correlation matrices.
Benefits
The benefits of this technology include improved accuracy in detecting human presence, remote monitoring capabilities, and potential applications in various industries for security and healthcare purposes.
Potential Commercial Applications
One potential commercial application of this technology could be in smart home systems for automated lighting and security systems that can detect human presence accurately.
Possible Prior Art
One possible prior art could be the use of radar technology for detecting human presence based on reflection signals, but this patent application introduces a novel method using complex transfer functions for improved accuracy.
Unanswered Questions
How does this technology handle interference from other objects or signals in the environment?
The patent application does not provide information on how the sensor distinguishes between reflection signals from a living body and other objects or signals in the environment.
What is the range and accuracy of this technology in detecting the presence of a living body?
The patent application does not specify the range or accuracy of the sensor in detecting the presence of a living body, which could be crucial information for potential users.
Original Abstract Submitted
A sensor receives M reception signals including reflection signals reflected by a living body; extracts a living-body component transfer function matrix from first complex transfer functions and second complex transfer functions, the first complex transfer functions being obtained by recording an M×N complex transfer function matrix including complex transfer functions in time series, from M reception signals, the complex transfer functions each indicating characteristics of propagation between a corresponding one of transmission antenna elements and a corresponding one of reception antenna elements, the second complex transfer functions being obtained by estimating and recording M×N complex transfer functions in a second period, and outputting a position at which a spectrum function indicating a likelihood that a living body is present indicates a local maximum value, using a correlation matrix based on the living-body component complex transfer function matrix and a steering vector corresponding to each of measurement-target regions.
