Google Inc.

Exaflop LLC

Ken Krieger

Simon Michael Rowe

Raimundo Mirisola

Sangsun Kim

Andrew Joseph Alexander Gildfind

Nicholas Salvatore Arini

Michel Weksler

David Deephanphongs

Honggang Sheng

Andrew Gildfind

William Riis Hamburgen

Gaurav Bhaya

Robert Stets

Jimmy Clidaras

Albert Borchers

William Howard Whitted

Montgomery Sykora

Nick Salvatore Arini

Donald L Beaty

Gerald Aigner

James Robert Stewart

Brian De Vries

Yassir Abousselham

Amir Meir Michael

Benchiao Jai

Andrew B Carlson

William Leslie Dailey

Selver Corhodzic

In accordance with some implementations, a method for measuring viewership of media content is disclosed. The method is performed on a client system. The client system obtains identification information for individuals who have agreed to participate in a media viewership totals measurement study, detects a first user of the client system, determines media content being presented in proximity to the first user, automatically determines if the first user is an individual who has agreed to participate in the media viewership totals measurement study; and generates viewership data according to the determination.

Audience attendance monitoring through facial recognition

The present disclosure is generally directed a data processing system for authenticating packetized audio signals in a voice activated computer network environment. The data processing system can improve the efficiency and effectiveness of auditory data packet transmission over one or more computer networks by, for example, disabling malicious transmissions prior to their transmission across the network. The present solution can also improve computational efficiency by disabling remote computer processes possibly affected by or caused by the malicious audio signal transmissions. By disabling the transmission of malicious audio signals, the system can reduce bandwidth utilization by not transmitting the data packets carrying the malicious audio signal across the networks.

Authentication of audio-based input signals

A method, executed by a processor, is used to determine presence of a viewer at a media device. The method includes receiving viewer biometric data captured by a biometric capture device associated with the media device; determining a category of the viewer based on the captured viewer biometric data; comparing the captured viewer biometric data to a reference to determine a possible identity of the viewer, by: determining a presence probability for the viewer based on a match between the biometric data and the reference, and determining a confidence level for the probability; and when the probability and confidence level equal or exceed a threshold, determining the viewer is present at the media device.

Presence and authentication for media measurement

Systems and methods for generating and using probabilistic filters are provided. One example method includes obtaining a plurality of beacon identifiers respectively associated with a plurality of beacon devices. The operations include determining a plurality of filter shards for each beacon identifier by applying a plurality of hash functions to each beacon identifier. The operations include providing the plurality of filter shards for each beacon identifier for local storage in a probabilistic filter at an observing entity, such that the observing entity can query the probabilistic filter to receive an indication of whether a received identifier is a member of a set that includes the plurality of beacon identifiers. One example system includes a plurality of beacon devices, at least one observing entity, and at least one verifying entity.

Probabilistic message filtering and grouping

In accordance with some implementations, a method for measuring viewership of media content is disclosed. The method is performed on a client system. The client system captures presence data of one or more users of the client system with the camera. The client system then analyzes the captured presence data to determine if a respective user is a participant in a media viewership study. In accordance with a determination that the user is a participant in the media viewership measurement study, the client system determines the media content being presented. The client system creates viewership data based on the user and the media content being displayed in the proximity of the user and transmits viewership data to a server system.

A server rack with vertically stacked shelves is disclosed. The shelves are used for housing loads (e.g. servers) and power supply units. Thus, both the power supply units and the servers are vertically stacked in the rack. An array of vertical and horizontal busses is secured to the back side of the server rack to electrically couple the servers with the power supply units. The arrangement of the PSUs and the busses provides for uniform current density across the server rack. The devices placed on the shelves are accessible and serviceable from the front of the server rack. The server rack can be placed within or secured to a device, system or a server room in a vertical orientation, a horizontal orientation or at an angle.

Server rack architecture that facilitates reduced current density

A method for conducting a media consumption study, includes at a processor of a position marker placed in a study site in a vicinity of a fixed media device; receiving a signal broadcast from a personal measurement device; determining signal information of the received broadcast signal, the signal information including identification information of the personal measurement device, and one or mora signal characteristics; comparing the one or more signal characteristics to threshold values; and based on the comparison, determining the personal measurement device is in proximity to the fixed media device.

Personal measurement devices for media consumption studies

A master beacon device emits a data packet that is received and retransmitted by servant beacon devices in a wireless mesh network that enables the beacon devices to detect the received signal strength indicator ('RSSI') of beacon devices in proximity. Each servant beacon device transmits survey data packets comprising the RSSIs and hardware identifiers of proximate beacon devices to the master beacon device, which constructs a first virtual map of the mesh network. At a later time, each servant beacon device transmits authentication data packets, which are retransmitted, each retransmitting beacon inserting an RSSI and hardware identifier of the beacon device from which the authentication data packet was received, until they reach the master beacon device, which constructs a second virtual map of the mesh network. The master beacon device compares the first virtual map to the second virtual map to determine if the network is secure.

Securing a wireless mesh network via a chain of trust

In accordance with some implementations, a method for measuring viewership of media content is disclosed. The method is performed on a client system. The client system captures visual data of one or more users of the client system with the camera. The client system then analyzes the captured visual data to determine a facial image for each respective user of the one or more users. Based on the facial image, the client system then determines if a respective user is a participant in a media viewership study. In accordance with a determination that the user is a participant in the media viewership measurement study, the client system determines the media content being presented. The client system creates viewership data based on the user and the media content being displayed in the proximity of the user and transmits viewership data to a server system.

Growing community of inventors

Jackson, WY, United States of America

Ken Krieger