Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.

Abstract: A computer-implemented method is provided for encouraging referrals of persons for employment. Information is stored that identifies each of a plurality of referring parties, that is, information identifying persons or entities that refer a person or entity that is a candidate for a position at an employer party. The person or entity that is referred as a candidate is called a referred party. The referring party supplies the referred party information. When the referred party is placed in a position with an employer, the work performed over time by the referred party at the employer party is tracked and stored. A royalty owed to the referring party based on the work performed by the referred party is then computed. The royalty may be computed on a periodic basis based on the amount of work performed by the referred party during a time interval.