Stylus Tap Classification Using IMU Tilt and Neural Sensing
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Solution Overview
Problem
Current styluses lack advanced functionality, limiting their interaction capabilities with touch screens and other devices, necessitating the development of a more sophisticated user interaction method.
Innovation Solution
A stylus system that utilizes sensors to detect tap events, generates acceleration signals, and employs a deep neural network with a backpropagation algorithm to classify these events, allowing for optimized parameter adjustment and enabling novel interaction methods without direct screen contact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If deep neural network with backpropagation algorithm is used to classify tap events, then user interaction functionality is enhanced, but device complexity increases
Solution Approach 1:
The patent pre-trains the deep neural network model offline using labeled tap event data to establish optimized weighting parameters. This preliminary action allows the complex classification model to be prepared in advance, so that during actual stylus operation, only inference needs to be performed rather than full training, reducing real-time computational complexity while maintaining high functionality.
Solution Approach 2:
The patent replaces traditional mechanical or rule-based tap event classification mechanisms with an intelligent deep neural network system. This substitution enables more sophisticated interaction functionality by leveraging machine learning algorithms that can automatically learn complex patterns from acceleration signals, rather than relying on predefined thresholds or simple detection logic.
2Adaptability or versatility
If sensor and deep neural network are integrated in stylus, then interaction capabilities are enriched, but manufacturing complexity increases
Solution Approach 1:
The patent integrates multiple functions into the stylus including acceleration sensing, tilt angle detection, tap event classification, and wireless communication within a single device. This multi-functional design allows the stylus to serve various interaction purposes (drawing, selecting, gesturing) without requiring separate devices, thereby enriching interaction capabilities while managing manufacturing through a unified product platform.
3Device complexity
If tap events are classified using traditional methods, then device complexity is low, but interaction functionality is limited
Solution Approach 1:
The patent changes the parameter representation of tap events from simple binary detection to multi-dimensional acceleration signal analysis. By sampling acceleration signals at multiple time points and extracting feature values that capture temporal and magnitude characteristics, the system transforms limited tap detection into rich interaction data that enables diverse gesture recognition and user commands.
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 rich and convenient user interactions through rotating and tapping the stylus, enhancing functionality and competitiveness by classifying tap events and calculating tilted angles, facilitating various operations across different application scenarios.
Implementation Method 1
utilizing a sensor to detect various tap events generated by taps on the stylus to obtain a plurality of acceleration signals
Data Source
AI summary
A novel method is proposed to operate a stylus product. In this method, inertial measurement unit (IMU) signals are used to estimate a tilted angle of the stylus product. On the other hand, acceleration signals measured when a finger taps a stylus are collected to train a deep neural network as a tap classifier. A combination of the tilted angle and the tap classifier allows a user to interact with a peripheral device (e.g. a touchscreen) by rotating and taping the stylus product. A tap classifying system and a stylus product are also provided.