GB/T 38665.2-2020 in English
VALIDInformation technology -- Gesture interaction system -- Part 2: System external interface
- Issued on:2020-04-28
- Implemented on:2020-11-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
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《GB/T 38665.2-2020信息技术 手势交互系统 第2部分：系统外部接口》由TC28（全国信息技术标准化技术委员会）归口，TC28SC24（全国信息技术标准化技术委员会计算机图形图像处理及环境数据表示分会）执行，主管部门为国家标准化管理委员会。
Introduction
Interpretation of the core content of the standard
As an important standard in the field of gesture interaction technology, GB/T38665.2-2020 systematically defines the interface specifications between the gesture interaction system and external devices for the first time. The standard divides interfaces into three categories:
| Interface type | Quantity | Core function | Typical application scenarios |
|---|---|---|---|
| System input interface | 4 | Gesture data collection and status notification | VR handle, depth camera |
| System output interface | 3 | Multimodal feedback mechanism | AR interface prompt, tactile feedback |
| System service interface | 14 | Gesture set management and recognition control | Smart home control, medical simulation |
Analysis of key technologies
1. Dual-mode recognition mechanism
The standard innovatively defines two gesture recognition modes: discrete and continuous:
- Discrete recognition: requires clear start and end signals (such as button press/release), suitable for precise control scenarios
- Continuous recognition: real-time processing of data streams (such as Kinect somatosensory), suitable for natural interaction scenarios
2. Parameterized interface design
The standard uses XML Schema style to define 9 core parameters:
GestureData // Raw gesture dataGestureSet // Gesture template setCommandSet // Control command mapping setRecognitionAlgorithm // Recognition algorithm example
Implementation Suggestions
Medical Imaging System Integration Case
In the DICOM image browsing system of a tertiary hospital, by implementing the standard-defined 11-3 (addGesture) interface, doctors can customize professional gestures such as "zoom in" and "window width adjustment". Statistics show:
- Gesture recognition accuracy increased to 92.7%
- Image operation efficiency increased by 40%
Development Notes
- The 5.5.5-5.5.6 pairing interface (initialize/destroy recognition module) must be implemented
- Continuous recognition needs to handle the repeated triggering problem of 2-2(onGestureStarted)
- The return value should strictly follow the error code system defined in 6.10
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