Amazon Technologies, Inc.

James J Wolfe

Pratik Kalpesh Patel

Kandarp Shah

Jayashree Subramanian

Srinath Byregowda

Feng Zhang

Arvind Thiagarajan

Koohyun Um

Anand Balakrishnan

A method and system including a monitoring device to detect, during a session, a set of radar signals associated with first respiratory-related movements of a first person and second respiratory-related movements of a second person located within a detection zone comprising at least a portion of a bed. The method and system dynamically generate an out-of-bed zone adjacent to a side of the bed. The out-of-bed zone is monitored to detect motion within the zone to determine when the first person exits and enters the bed. The method and system identify a portion of the set of radar signals collected during a time period when the first person is determined to be out of the bed. The identified portion of the set of radar signals is removed from the set of radar signals collected during the sleep session.

Out-of-bed zone generation and monitoring associated with respiratory activity tracking

Systems and methods for fall detection on uneven surfaces utilizing radar are disclosed. For example, an electronic device may receive reflected energy from surfaces in an environment. Corresponding sensor data associated with an object moving on an uneven surface may be utilized to determine a velocity of the object and a height change of the object. When the velocity indicates that the object has stopped moving toward or away from the sensing device, and the height values indicate a sudden decrease in height, a fall event may be detected.

Fall detection on uneven surfaces using radar

Systems and methods for boundary approximation utilizing radar are disclosed. For example, a heatmap of an environment may be generated utilizing data from reflected energy received at a device. The heatmap may be utilized to generate a point cloud representing the environment, where points of the point cloud indicate rates of change of energy intensity associated with surfaces in the environment. The points may be utilized to determine a mean line indicating an approximated distance between a portion of the environment, such as a wall, and the device.

Boundary approximation utilizing radar

Techniques are described for determining a direction in which a computing device is being transported by a user who is walking, running, or otherwise moving relative to a direction in which the device is being held. Acceleration data may be collected by accelerometers of the device during a time window, and transformed to determine a rotated acceleration along one or more candidate directions. The rotated acceleration is transformed to a frequency domain, and a peak power is determined within the frequency transformed acceleration data for each candidate direction. The peak powers are compared across multiple candidate directions, and the candidate direction having a higher peak power may be designated as a movement direction of the device relative to the device orientation. A gross movement direction may be determined based on magnetometer data, and may be employed for navigation or other applications.

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San Jose, CA, United States of America

James J Wolfe