Intel Corporation

Kumar Ranganathan

Venkat Natarajan

Apoorv Vyas

Johanna M Swan

Adel A Elsherbini

Aleksandar Aleksov

Feras Eid

Sasha N Oster

Jaroslaw Sydir

Amit S Baxi

Vincent S Mageshkumar

Wen-Ling Huang

Carlos V Rozas

Mona Vij

Venkataraman Natarajan

Jose Joy

Harshpal Singh

Jaskaran S Grover

Nikita Pendekanti

Deeksha Dadhich

In one example an input/output interface to receive motion tracking data from at least one remote motion sensing device and a controller coupled to the input/output interface and comprising logic, at least partially including hardware logic, to receive the motion tracking data, generate estimated position data using the motion tracking data; and present the estimated position data on a display device coupled to the electronic device. Other examples may be described.

Motion tracking using electronic devices

Systems and methods may be used to map and collect data from a mesh network at a gateway device connecting a plurality of devices (e.g., edge devices, IoT devices, sensors, or the like) to a network. A method may include determining a shortest path tree (SPT) map of the plurality of devices, the shortest path tree map may define the mesh network for the plurality of devices connected to the gateway. The method may include sampling data throughout the mesh network based on a compressive sensing (CS) sampling schedule. The sampled data may be output, such as to a remote device via the network. The sampled data may be saved at the gateway.

Efficient mesh network data gathering

Described is an apparatus and method for data compression using compressive sensing in a wearable device. Described is also a machine-readable storage media having instruction stored thereon, that when executed, cause one or more processors to perform an operation comprising: receive an input signal from a sensor; convert the input signal to a digital stream; and symmetrically pad on either ends of the digital stream with a portion of the digital stream to form a padded digital stream.

Apparatus and method for data compression in a wearable device

A photoplethysmogram (PPG) measurement includes the use of compressive sensing based on samples generated in accordance with a fixed pattern. A pulse oximeter circuit can drive an LED according to the fixed pattern to create a compressive sensing sample matrix of sparse measurements. The fixed pattern can be a binary progression. The PPG signal reconstruction can include zero padding the sample matrix.

Compressive sensing sparse sampling photoplethysmogram (PPG) measurement

Techniques disclosed for accurately predicting the occurrence of anomalous sensor readings within a sensor network and advantageously using these predictions to limit the amount of power used by relay nodes within the sensor network. Some examples analyze spatial and temporal characteristics of anomalous sensor readings to predict future occurrences. In these examples, the relay nodes operate in a reduced power mode for periods of time in which anomalous sensor readings are not predicted to occur. Also, in these examples, only relay nodes in a path between a sensor predicting an anomalous reading and a gateway of the sensor network operate in full power mode. This feature allows other relay nodes to remain in the reduced power mode even when an anomalous sensor reading is predicted elsewhere in the sensor network.

Scheduling of network relays

Techniques are provided for compressive sensing (CS) in a sensor network, for improved power efficiency. A methodology implementing the techniques according to an embodiment includes determining a state of a sensor network, based on a calculated statistic of sampled data values generated by one or more sensors in the network, and on anomaly indications generated by the one or more sensors. The method further includes calculating a CS sampling schedule based on the determined state and further based on a sparse signal recovery algorithm. The method further includes broadcasting the CS schedule to the one or more sensors. The CS schedule includes a sensor identification, sampling frequency, and sampling time offset for each sensor to be sampled. The method further includes updating the state of the sensor network and the CS schedule, based on updated data values generated by the one or more sensors in accordance with the sampling schedule.

Compressive sensing for power efficient data aggregation in a wireless sensor network

Discussed generally herein are methods and devices including or providing a patch system that can help in diagnosing a medical condition and/or provide therapy to a user. A body-area network can include a plurality of communicatively coupled patches that communicate with an intermediate device. The intermediate device can provide data representative of a biological parameter monitored by the patches to proper personnel, such as for diagnosis and/or response.

Patch system for in-situ therapeutic treatment

A method, apparatus, and system are provided for extending a trusted computing base (TCB). According to one embodiment, a first level trusted computing base (TCB) is generated having hardware components including a trusted platform module (TPM), and an extended TCB is formed by adding a second level software-based TCB to the first level TCB, and properties associated with the first level TCB are transferred to the second level TCB.

Extended trusted computing base

Disclosed is a virtual machine monitor (VMM) that controls access to a page table hierarchy by a guest operating system (OS). For example, the guest operating system may operate as part of a virtual machine. Particularly, the virtual machine monitor obtains control of memory access transactions responsive to the guest operating system attempting to access the page table hierarchy. More particularly, when the guest operating system attempts to access a page table, control of memory access transactions is trapped to the virtual machine monitor.

Memory isolation and virtualization among virtual machines

A method, apparatus, and system are provided for remotely provisioning an operating system for implementing mandatory access controls on a computer system. According to one embodiment, platform credentials may be associated with a hardware trusted computing base (TCB) of a target computer system, and a mandatory access control (MAC)-based operating system may be remotely provisioned on the target computer system.

Remote provisioning of secure systems for mandatory control

An adaptive resource utilization apparatus for an application. The apparatus includes a costing subsystem engine configured to measure resource utilization of application-defined subsystems within that application as well as a feedback mechanism configured to interface the application to the costing engine. The application is enabled to modify its operating parameters based on resource utilization of its individual subsystems as presented to the application by the feedback mechanism.

Growing community of inventors

Bengaluru, India

Kumar Ranganathan