Since the inception of photography in general, the process of collecting digital photographs has progressed significantly. The development of high-resolution and specialised digital capture sensors has hastened this growth in recent years, allowing researchers to build new products and algorithms that allow photography to be utilised as an input for operating various other devices or robots. Still, much research has been done in the realm of algorithms and sensors in order to achieve a true mapping between a digital image and a physical word, which has recently resulted in the introduction of affordable and specialised gadgets on the market such as Microsoft Kinect or Motion Leap. Initially, the Microsoft Kinect device was only utilised in the gaming sector, but it soon caught the attention of researchers, who realised that the sensor might be used as a low-cost alternative in the three-dimensional mapping of space. PrimeSense (OpenNI) quickly produced an SDK, allowing the sensor to be utilised for a variety of purposes other than gaming. One of these applications is picture analysis, for which a product to capture human movement has been developed and is shown in this work, coupled with a proposal to use the capture mechanism to command and control an industrial robotic arm. The difficulties discussed can be applied with little modifications and for more powerful Kinect sensor versions that are currently being developed or will be developed in the future for similar applications.
Author(S) Details
Ionel Staretu
Transilvania University of Brasov, Romania and Technical Sciences Academy of Romania, Bucharest, Romania.
Catalin Moldovan
IBM, Romania.
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