RF Lid-Angle Estimation for Clamshell Configuration Sensing
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Solution Overview
Problem
Existing clamshell-type devices struggle to accurately sense the orientation of the lid portion relative to the base portion, limiting their ability to respond effectively to changes in configuration.
Innovation Solution
The use of RF signals transmitted and received by antennas to determine the angle of the lid portion relative to the base portion, employing a machine-learning-based algorithm to classify the lid angle into specific configurations, and taking appropriate actions based on the determined angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hinge sensors (resistive or capacitive contact sensors or magnetic-based sensors) are used to sense the orientation of the lid portion, then the device can detect lid orientation changes, but the measurement precision and reliability of lid angle determination are insufficient
Solution Approach 1:
The patent replaces mechanical hinge sensors (resistive, capacitive, or magnetic-based contact sensors) with an RF-based measurement system. The system uses RF signals transmitted between a first antenna in the base portion and a second antenna in the lid portion to determine lid angle through signal strength analysis, eliminating the need for physical contact sensors and their associated reliability issues.
Solution Approach 2:
The patent introduces RF signals as an intermediary medium to transfer information about lid orientation. Instead of direct mechanical or magnetic sensing, the system uses the RF signal strength between antennas as an intermediary indicator that correlates with lid angle, enabling indirect but more reliable measurement.
2Adaptability or versatility
If traditional hinge sensors are used, then the device structure remains simple, but the device cannot accurately respond to changes in lid portion orientation
Solution Approach 1:
The patent makes the RF antenna system multi-functional by using it for both wireless communication and lid angle determination. The same antennas and RF circuitry that handle data transmission also measure signal strength to infer lid orientation, eliminating the need for separate sensing components and reducing overall system complexity despite enhanced functionality.
Solution Approach 2:
The patent merges the communication function and sensing function into a single integrated system. The RF signals used for communication also serve as the measurement probe for lid angle determination, combining what were traditionally separate functions into one unified approach.
3Measurement precision
If RF signals are used to determine lid angle, then precise angle determination is achieved, but signal reflections from surrounding objects may interfere with measurement accuracy
Solution Approach 1:
The system continuously monitors RF signal strength and uses this feedback to determine lid angle. By establishing a relationship between signal strength patterns and known lid configurations (through training data or calibration), the system can distinguish between signal variations caused by lid position versus those caused by environmental reflections, maintaining measurement precision despite interference.
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 precise determination of the lid angle, allowing the device to transition to optimal power states and adjust functionalities accordingly, enhancing user interaction and power management.
Implementation Method 1
an antenna; wireless receiver circuitry to receive a radiofrequency (RF) signal from the antenna
Data Source
AI summary
Techniques for lid angle estimation are disclosed. In the illustrative embodiment, a compute device transmits a radiofrequency (RF) signal on an antenna. The compute device may then detect the RF signal on the same or a different antenna. The compute device can use a machine-learning-based algorithm to determine a lid angle based on the RF signal. The compute device may classify the lid angle as, e.g., a closed configuration, a laptop configuration, a tablet configuration, a book configuration, a tent configuration, etc.