Fingertip Motion Sensor Segmentation for Handwriting Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing fingertip-motion sensing devices face challenges in achieving high signal-to-noise ratios (SNRs) for detecting handwritten signals without hindering the user, as they often require a battery module that is heavy and bulky, and wireless charging may not provide sufficient power for inertial measurement units (IMUs).
Innovation Solution
A fingertip-motion sensing device with a battery module positioned away from the fingertip, using a bridge to connect two body parts on the distal and proximal phalanges, and a flexible printed circuit board (FPCB) with an accelerometer module and wireless communication module, which allows for secure placement and reduced interference, and a machine-learning classifier for handwriting recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a battery module is installed on the sensing unit to power the IMU for high sensitivity detection, then the power supply is sufficient, but the device becomes heavy and bulky, causing hindrance to the user in carrying out handwriting
Solution Approach 1:
The sensing device is divided into two separate body parts: a first body part worn on the distal phalanx containing the accelerometer module and wireless communication module, and a second body part worn on the proximal phalanx containing the battery module. This segmentation allows the heavy battery to be positioned away from the fingertip, reducing hindrance to handwriting while maintaining sufficient power supply to the IMU.
Solution Approach 2:
A bridge connecting the first and second body parts serves as an intermediary structure to transmit power from the battery module to the accelerometer module. The bridge enables power transmission without requiring the battery to be located at the fingertip, thus resolving the contradiction between power supply needs and user comfort.
2Weight of moving object
If wireless charging is used to avoid battery module installation, then the device remains lightweight, but the received power is low and tight power management is required, making it difficult to achieve high SNR in detecting handwritten signals
Solution Approach 1:
By segmenting the device into two body parts with the battery in the second part and the accelerometer in the first part, the invention achieves both lightweight portability and sufficient power supply. The bridge connection enables reliable power transmission to maintain high SNR detection quality while keeping the overall device lightweight.
3Ease of operation
If the battery module is positioned away from the fingertip to reduce hindrance, then user comfort is improved, but power transmission to the accelerometer module becomes more complex
Solution Approach 1:
The bridge acts as an intermediary structure that simplifies power transmission between the battery module and accelerometer module. This bridge structure provides a straightforward power transmission path, avoiding complex wiring arrangements while maintaining user comfort through proper component positioning.
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 device achieves high sensitivity in detecting fingertip motion with reduced hindrance to the user, providing a prolonged sensing capability and accurate handwriting recognition with a machine-learning classifier, such as a CNN, that determines handwritten characters from acceleration data.
Implementation Method 1
The first body part comprises an accelerometer module and a wireless communication module. The accelerometer module is used for measuring acceleration of the first body part so as to generate acceleration data of the fingertip motion.
Implementation Method 2
The second body part comprises a battery module for delivering electrical power via the bridge to the accelerometer module and wireless communication module.
Implementation Method 3
The wireless communication module is used for wirelessly transmitting the acceleration data to outside the sensing device.
Data Source
AI summary
In a handwriting recognition system, a fingertip-motion sensing device has first and second body parts respectively wearable on a distal phalanx and a proximal phalanx of a finger, and a bendable bridge connecting the two body parts. An accelerometer module in the first body part generates acceleration data of the fingertip motion whereas a battery module powering the accelerometer module is in the second body part, avoiding the first body part to be loaded with the battery module so as to reduce hindrance to a user in handwriting. The bridge is wavily shaped, enabling it to be extensible and retractable to avoid spurious interference generation due to unintended movement between the first body part and the distal phalanx. The sensing device wirelessly transmits the acceleration data to a computing device, which analyzes the acceleration data to determine handwritten characters by using a machine-learning classifier, preferably a convolutional neural network.