Google Inc.

Daniele Midi

Andrew Larsen Axley

Marci Meingast

Marei Meingast

Systems and techniques are provided for determination of user presence and absence using WiFi connections. Reports may be received from WiFi access points in an environment. The reports may include an identifier of a WiFi device, an indication of a connection to or disconnection from a WiFi access point, a time of the connection or disconnection, and an identifier of the WiFi access point. A connection sequence for the WiFi device may be generated from the reports. Whether the WiFi device is present in or absent from the environment as of a specified time may be determined based on the connection sequence. An indication of presence for a user associated with the WiFi device may generated if the WiFi device is present in the environment. An indication of absence for the user associated with the WiFi device may be generated if the WiFi device is absent from the environment.

Determination of user presence and absence using WiFi connections

Systems and techniques are provided for determining arrival and departure latency for WiFi devices. Reports may be received from WiFi access points in an environment. The reports include an indication of a connection to or disconnection from one of the WiFi access points, a time of the connection or disconnection, and an identifier of the one of the WiFi access points. Data including connect times and disconnect times may be generated from the reports. Sensor and device data may be received from one or more sensors or devices in the environment. Data indicating a length of an arrival latency and a length of a departure latency for the environment may be generated with a machine learning system, where the data including connect times and disconnect times and the sensor and device data is input to the machine learning system.

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San Francisco, CA, United States of America

Daniele Midi