基于視覺的手勢識別：工業控制應用的理想人機界面

　　嵌入式視覺是基于計算機視覺系統的進化和外推，它處理和解釋靜態圖像和視頻圖像的意義，有望成為下一個重大的技術成功故事。例如，考慮現在在蜂窩電話、平板電腦、筆記本電腦和專用計算機顯示器中常見的圖像傳感器和處理器。最初用于視頻會議和攝影，他們現在被用于其他應用程序，如增強現實。［ 1 ］。

　　同樣，考慮新興流行的消費監控系統，由攝像機和其子系統的持續改進的驅動，以及越來越人性化相關的監控軟件和服務。［ 2 ］，誰最近已經知道買汽車，圖像傳感器在車輛周圍許多地方越來越發現，利用泊車輔助、后視安全，即將發生的碰撞預警，車道偏離警告等功能。［ 3 ］

　　同樣強大的功能和成本效益的圖像傳感器，處理器，內存設備，I/O收發器，以及在前面提到的系統中使用的其他集成電路同樣適用于視覺包容性工業自動化應用開發人員。基于手勢的人機界面在許多方面都是理想的，因此在這種環境中越來越普遍。一方面，他們是直觀的；為什么要點擊鼠標、按鈕，甚至滑動手指在觸摸屏上翻頁或在菜單頁中移動，而不是只在空中掃你的手。

　　A gesture-based UI also dispenses with the environmental restrictions that often hamper a touch-based interface; water and other fluids， non-conductive gloves， dirt and germs， etc. However， a first-generation motion implementation such as that utilized by the Nintendo? Wii? game console system has limitations of its own. An easy-to-lose， breakable， in-hand controller is required to implement the scheme. Additionally， the interface between the controller and the system， usually implemented via Bluetooth?， ZigBee? or some other RF wireless technology， is （like a touchscreen interface） vulnerable to functional degradation due to environmental EMI.

　　Instead， consider an image sensor-inclusive design. Vision-based gesture interfaces use the human body as the controller versus a dedicated piece of extra hardware， interpreting hand， arm， and other body movements. They are comparatively EMI-immune; all that you need to ensure is sufficient operator-to-equipment distance along with adequate ambient lighting. In addition to gesture-based control， and as with the earlier mentioned computers and cell phones， you can use facial recognition technology to not only “unlock” the system in response to the presence of a valid operator‘s visage but also custom-configure the system on the fly for any particular operator， logging into a specific user account， for example.［4］ They can also offer a more extensive suite of user control options than does a coarser-grained accelerometer- or gyroscope-based motion interface.