This article presents 11 biometric-based system design solutions, including gesture recognition, iris recognition, and voiceprint recognition, offering a comprehensive overview for reference. These systems demonstrate the potential of biometric technologies in enhancing user interaction and security.
**Design of an Intelligent Input System Based on Gesture Recognition**
The Smartmouse intelligent gesture input system consists of a handheld terminal (gesture data acquisition module) and a host terminal (data processing module), connected wirelessly. The handheld device can be easily worn on the user’s finger to capture gesture data, while the host side interfaces with a PC, receiving and processing the data intelligently. This system provides a more natural and intuitive way to interact with digital devices.
**Design of a Gesture Recognition TV Remote Control Based on DSP**
To overcome the limitations of traditional mechanical remote controls, a gesture recognition system based on the DSP2812 is designed. By converting user gestures into corresponding infrared signals, this remote control allows users to change channels and adjust volume using hand movements, making the experience more interactive and engaging.
**Gesture Recognizer Terminal Design**
This system uses three-axis acceleration data to detect six predefined postures. Each axis is sampled independently, collecting 50 data points. These are then processed to determine if a specific gesture has occurred, enabling real-time motion recognition.
**Portable EMG Signal Acquisition and Human Body Motion Recognition Design**
Surface electromyography (sEMG) is used to acquire muscle activity through electrode sheets. This non-invasive method is safe, simple, and widely used in human motion analysis and control systems.
**DIY Your Somatosensory Game: Human Motion Recognition System**
This project utilizes the Virtex-5 OpenSPARC platform. It decodes video streams from a PC using a VGA decoder chip and captures human hand movements via an OV7670 camera. The system processes the captured data to identify motions, superimposes it with RGB signals, and sends the final image to a display through a DVI interface.
**ST Micro MEMS Module for Custom Action Recognition**
The LSM330 module integrates a 3-axis gyroscope and accelerometer along with two finite state machines, enabling custom action recognition within the module without external processing.
**Design of a Universal Voice Control System Based on Voiceprint Recognition**
This system aims to create a general-purpose voice control solution. Using digitized Chinese numbers (0–9), users can control Linux systems by speaking the corresponding number. This approach simplifies command execution and enhances usability.
**FPGA-Based Speaker Recognition System**
Speech recognition is employed for speaker identification. Unlike other biometric methods, it requires no special hardware—common microphones suffice. This makes it convenient, cost-effective, and scalable for various applications.
**Design of a Chaotic Encryption Iris Recognition System Based on FPGA**
A portable embedded iris recognition system is developed using FPGA technology. It includes modules such as power management, image acquisition, image processing, memory, and network transmission. The design covers hardware, software, and algorithm aspects to ensure accuracy and efficiency.
**Hardware Design and Implementation of an Iris Recognition System**
This paper describes the implementation of an iris recognition system on a development board using the Xilinx Spartan-3E chip. It covers image acquisition, localization, feature extraction, database creation, classification, and matching, providing detailed results and insights into the system's performance.
**Research and Implementation of a Creative Ear Pattern Recognition System**
This design employs SOPC technology to streamline system design and improve stability. VHDL programming enables high-speed data acquisition, reducing processor load. The system uses FPGA hardware for fast ear pattern image acquisition and DSP-based data processing, enhancing image quality and feature extraction accuracy.
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