Google Inc.

Zhifeng Cai

Dongeek Shin

Ramya Bhagavatula

Brian Mitchell Silverstein

Kevin Neal Hayes

Srinivasa Kumar Duvvuri

Raymond Reynolds Hayes

Der-Woei Wu

Yu Wen

This document describes techniques and devices to detect and classify human and animal presence and/or motion based on changes in the interaction of the human or animal with Wireless Local Area Network (WLAN) radio frequency (RF) signals within or about a building structure, such as a home or office. A first WLAN device transmits a sounding packet to a second WLAN device and receives an acknowledgement (ACK) of receiving the sounding packet by the second WLAN device. The first WLAN device uses the received ACK to determine Channel State Information (CSI) for an RF signal path between the first WLAN device and the second WLAN device, aggregates the determined CSI with additional CSI, and uses the aggregated CSI to determine a presence or a motion within the structure.

Motion detection using wireless local area networks

This document describes methods, devices, systems, and means for controlling wireless devices using aggregated data from cross-network access points. An access point (AP) provides operational information from a plurality of different types of client devices communicating with the AP to a cloud service and obtains per-client-device-type policy data from the cloud service that is based on aggregated operational information from a plurality of different types of client devices from different AP networks. The AP controls, using a wireless transceiver, a wireless client device that is of a first type, using the per-client-device-type policy data for the first type based on aggregated operational information from a plurality of different types of client devices from different AP networks.

Controlling wireless devices using aggregated data from cross-network access points

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Zhifeng Cai