Intel Corporation

Tahoe Research, Ltd.

Chieh-Yih Wan

Rahul C Shah

Giuseppe Beppe Raffa

Lama Nachman

Sangita R Sharma

Rita H Wouhaybi

Jonathan J Huang

Mark D Yarvis

Cagri Tanriover

Ashwini Asokan

Junaith Ahemed Shahabdeen

Hong Lu

Ke-Yu Chen

Lei Yang

Lenitra M Durham

Adam Jordan

Sharad K Garg

Douglas P Bogia

Glen J Anderson

Hong C Li

Shao-Wen Yang

David L Graumann

Jennifer Anne Healey

Addicam V Sanjay

Tae Young Yang

Jason A Mix

James Lundell

Michael J Payne

Omar Ulises Florez Choque

Saurav Sahay

Omar Florez

Timothy E Hansen

Scott Thomas

Yong Wang

Jens Mache

Marcelino Ford Livene

Guiseppe Raffa

Marcelino Ford-Livene

Sharad A Garg

Philip A Muse

Techniques are disclosed for performing RFID motion tracking in an intelligent manner that facilitates the generation of accurate and useful metrics for marketing and other applications. The techniques function to reduce problematic false positive rates on RFID tags attached to items to improve the accuracy of the motion presence of a small subset of browsed items among a much larger set of tagged items in the same space. This accurate motion inference enables the calculation of metrics such as customer-item interaction duration, pauses in interactions (potentially indicating close examining), and the extraction of patterns of motion that can indicate interest leading to realized sales, as well as concurrent motion detection of multiple items indicating which related items shall be placed in close proximity to increase sales of matching items.

Probabilistic contextual inference using RFID tag-interactions

In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.

RFID motion detection for dense RFID tag environments

A positioning device and positioning method in which a first wireless signal is transmitted along a first signal path having a first signal path angle that changes relative to time; second wireless signal data representing a response of a wireless station to the first wireless signal is received; a third wireless signal is transmitted along a second signal path; and an assumption that an obstruction is between the wireless communication device and the wireless station is generated if the wireless communication device receives a response from the wireless station to the first wireless signal but does not receive a response from the wireless station to the third wireless signal; wherein the second signal path is a linear path.

Station detection using frequency-diverse array signals

Behavior detection using RFID in environments with high RFID tag density

In one embodiment, an apparatus may comprise a sensor to detect a plurality of radio signals from one or more transmitters. The apparatus may further comprise a processor to: identify the plurality of radio signals detected by the sensor; detect a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters; identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset; identify a plurality of signal characteristics associated with the plurality of radio signals; detect a proximity of a human based on the plurality of signal characteristics; and detect one or more human-asset interactions based on the plurality of signal characteristics.

Privacy-preserving behavior detection

Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data. The computing device generates inferred context data using one or more cognitive or machine learning algorithms. The inferred context data may include semantic time or location data, activity data, or sentiment data. The computing device updates a user context model and an expanded media object graph based on the context data and the inferred context data. The computing device selects one or more target media objects using the user context model and the expanded media object graph. The computing device may present context-aware media experiences to the user with the target media objects. Context-aware media experiences may include contextual semantic search and contextual media browsing. Other embodiments are described and claimed.

Technologies for automated context-aware media curation

In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.

Sleep and environment monitor and recommendation engine

A portable electronic device may generate a (RF) radio frequency fingerprint that includes information representative of at least a portion of RF signals received at a given physical location. The RF fingerprint may include, for example, a unique identifier and a signal strength that are both logically associated with at least a portion of the received RF signals. The portable electronic device may also receive data representative of a number of environmental parameters about the portable electronic device. These environmental parameters may be measured using sensors carried by the portable electronic device. Considered in combination, these environmental parameters provide an environmental signature for a given location. When combined into a data cluster, the RF fingerprint and the environmental signature may provide an indication of the physical subdivision where the portable electronic device is located. The portable electronic device may then generate a proposed semantic label for the physical subdivision.

Autonomous semantic labeling of physical locations

Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Vehicular occupancy assessment

A method, system and computer control logic to provide personalization of a viewers usage of an Internet TV platform. The method includes tracking a viewers interactive usage pattern of the TV platform; generating viewer usage data based on the tracking; analyzing the viewer usage data on a substantially real-time basis; and personalizing the viewer's usage of the TV platform on a based on an analysis the viewer usage data.

Validation of TV viewership utilizing methods, systems and computer control logic

Apparatuses, methods, and computer-readable media for a proximity-based connection facilitation device ('PBC') may be described which may facilitate discovery and connection to computing devices. The PBC may present visual elements representing devices based on their locations, such as their proximity to the PBC. The PBC may present visual elements for a limited set of devices. The PBC may present computing devices in a visual manner that may depict their proximity to the PBC. The PBC may also provide for facilitated connection to devices that are not as proximate to the PBC. The PBC may facilitate identification of devices that are proximate to an identified device. By facilitating a user in selecting a first device and then visualizing devices proximate to the first device, the PBC may facilitate a user in chaining from a first device to devices that are less easily identified. Other embodiments may be described and/or claimed.

Location-based wireless device presentation and connection

A method may include calculating a first distance between first and second devices and determining a direction of a movement of the first device. The method may further include calculating a second distance between the first and second devices after the movement of the first device and determining the relative position of the first device with respect to the second device based on the direction of the movement, the first distance, and the second distance.

Mobile device position detection

Systems and methods for receiving a communication on one or more user devices within a vehicle and redirecting the communications based at least in part on one or more user profiles associated with occupants of the vehicle is disclosed. The redirection of the communication may further be based at least in part on one or more sensor signals or a drive characteristic associated with the vehicle.

Systems and methods for user device interaction

A data processing system includes components for providing a pleasant user experience. Those components may include a family interaction engine that provides a family channel. The family interaction engine may provide for creation of a user group. The family channel may present content of interest to multiple users in the user group. When a user is detected near the data processing system, the family interaction engine may automatically present content of interest to that user. When used for presenting media content, the data processing system may also cause supplemental data to automatically be presented, wherein the supplemental data is relevant to the media content and to a predetermined interest of the user. The data processing system may also provide a ranked list of applications for potential activation by the user. The applications may be ordered based on the current context. Other embodiments are described and claimed.

Methods and apparatus for providing improved access to applications

Growing community of inventors

Beaverton, OR, United States of America

Chieh-Yih Wan