The Listener class in the API defines the signatures for a function that will be called when a Controller event occurs. If so, you can get the tracking data once per loop – which is often as fast as you can use the data anyway. Many programs already have a event- or animation-loop to drive user input and animation. There can also be additional overhead associated with the creation and cleanup of threads.Īvoiding Listeners: You can avoid using Listener objects by simply polling the Controller object for frames (or other state) when convenient for your program. For example, you might not be able to access variables related to GUI controls from anything except the main thread.
#LEAP MOTION VISUALIZER PROGRAM CODE#
It becomes your responsibility to make sure that the code you implement in your Listener subclass accesses other parts of your program in a thread-safe manner. Thus, using the listener mechanism can introduce the complexities of threading into your program. The Problem with Listeners: Listener objects use independent threads to invoke the code that you implement for each event. This is the approach used in this tutorial – but it is not always the best approach.
You can add a Listener object to the Controller, which provides an event-based mechanism for responding to important Controller state changes. For more information read System Architecture. A JavaScript library, LeapJS, provides an API wrapping this data. The WebSocket provides tracking data as a JSON-formatted message – one message per frame of data. Web applications can connect to a WebSocket server hosted by the service. Native Leap Motion-enabled applications can connect to this service using the API provide by the Leap Motion dynamic libraries (provided as part of the Leap Motion SDK).
#LEAP MOTION VISUALIZER PROGRAM SOFTWARE#
The Leap Motion software runs as a service (Windows) or daemon (Mac and Linux) on the client computer. For an overview for the tracking data provided by the controller, read API Overview. The Frame object received by your application contains all the known positions, velocities and identities of tracked entities, such as hands and fingers. Sensor data is analyzed frame-by-frame and the service sends each frame of data to Leap Motion-enabled applications.
The software maintains an internal model of the human hand and compares that model to the sensor data to determine the best fit. The Leap Motion software receives the sensor data and analyzes this data specifically for hands, fingers, and arms. The following illustration shows how a user’s hands look from the perspective of the Leap Motion sensor: The camera sensors look upward (when the device is in its standard orientation). The Leap Motion hardware consists primarily of a pair of stereo infrared cameras and illumination LEDs. The Leap Motion controller encompasses both hardware and software components.
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