Detecting, representing, and interpreting three-space input: gestural continuum subsuming freespace, proximal, and surface-contact modes
Systems and methods for detecting, representing, and interpreting three-space input are described. Embodiments of the system, in the context of an SOE, process low-level data from a plurality of sources of spatial tracking data and analyze these semantically uncorrelated spatiotemporal data and generate high-level gestural events according to dynamically configurable implicit and explicit gesture descriptions. The events produced are suitable for consumption by interactive systems, and the embodiments provide one or more mechanisms for controlling and effecting event distribution to these consumers. The embodiments further provide to the consumers of its events a facility for transforming gestural events among arbitrary spatial and semantic frames of reference.
1. A system comprising:
a data funnel;
a gesture engine coupled to the data funnel;
a gestural event consumer;
wherein the data funnel is constructed to:
receive a plurality of tracking data streams from a plurality of types of object tracking devices streaming low-level tracking events for a same object in real time,
temporally align the received low-level tracking events in real-time to generate a temporally-aligned multi-source tracking data stream that identifies a tracking event provided by two or more of the object tracking devices, and
semantically aggregate the temporally aligned low-level tracking events of multi-source tracking data stream,
wherein the gesture engine is constructed to generate at least one gesture event from the semantically aggregated low-level tracking events, and distribute at least one gesture event to the gestural event consumer.
2. The system of claim 1 , wherein the gestural event consumer is constructed to update display at a display device.
3. The system of claim 2 , further comprising the display device.
4. The system of claim 1 , wherein the gestural event consumer is constructed to update state of an application.
5. The system of claim 4 , further comprising at least one processor that executes the application.
6. The system of claim 1 , wherein the low-level tracking events include events generated by using at least two different types of sensors.
7. The system of claim 1 , wherein the low-level tracking events include events generated by using at least an image sensor and a motion sensor.
8. The system of claim 1 , wherein the low-level tracking events include events generated by using at least an image sensor and a sensor that is different from an image sensor.
9. The system of claim 1 , wherein at least two of the plurality of types of object tracking devices are user input devices.
10. A method comprising:
receiving a plurality of tracking data streams from a plurality of types of object tracking devices streaming low-level tracking events for a same object in real time;
temporally aligning the received low-level tracking events in real-time to generate a temporally-aligned multi-source tracking data stream that identifies a tracking event provided by two or more of the object tracking devices;
semantically aggregating the temporally aligned low-level tracking events of the multi-source tracking data stream;
with a gesture engine, generating at least one gesture event from the semantically aggregated low-level tracking events; and
distributing the at least one gesture event to at least one gestural event consumer.
11. The method of claim 10 , wherein the at least one gestural event consumer updates display at a display device.
12. The method of claim 10 , wherein the gestural event consumer updates state of an application.
13. The method of claim 10 , wherein the low-level tracking events include events generated by using at least two different types of sensors.
14. The method of claim 10 , wherein the low-level tracking events include events generated by using at least an image sensor and a motion sensor.
15. The method of claim 10 , wherein the low-level tracking events include events generated by using at least an image sensor and a sensor that is different from an image sensor.