Gesture recognition is based on human hand movements.In industrial production,controlling robot motion through gestures can simplify the teaching process and operation process of the robot,and has great application value.Today,the most prominent research methods in the field of gesture recognition include glove-based recognition and recognition using visual information.The identification method of using gloves mainly uses optical fibers to obtain the joint positions and bending degrees of palms and fingers and model them.The vision-based recognition method refers to obtaining the gesture visual image from the camera,performing a series of algorithm processing,and identifying and obtaining the result.
手势识别是基于人的手部动作完成的,工业生产中,通过手势控制机器人运动,可简化机器人的示教过程与操作流程,具有很大的应用价值。现今,在手势识别领域最为突出的研究方法包括基于手套进行识别以及使用视觉信息进行识别。使用手套的识别方法主要是使用光纤等获取手掌、手指的关节位置以及弯曲程度并建模。基于视觉的识别方法是指从相机获取手势视觉图像进行一系列算法处理,进行识别获取结果。
ZELLWEGER USTER CONTROL CONTROLLER SLIDA-SP SLIDASP 75VA 110/220V
REBUILT TOSHIBA B0104YLF2AM 10HP EXPLOSION PROOF MOTOR 230/460V 3PH 1735 RPM
GE MEDICAL SYSTEMS CONSOLE AUTOVOICE HIGHSPEED BOARD 46-264756 46-264756G1-A
VICKERS DG5S-8-2A-2-E-M-FW-B5-30 HYDRAULIC VALVE
AGILENT HP CIRCUIT BOARD CARD E2929-66502 E2929-66511 E2929-66411 E2929A
HEDLAND H834X-030-HE H834X030HE FLOW METER 30GPM 110LPM 1-1/4″ NPT CONDITION
LENZE 12.3HP 9.2KW ELECTRIC MOTOR W/ BRAKE 380-480V VOLT DELTA MDXMA3M 132-32