Showing papers on "Sensor hub published in 2016"

Device and method for seeking help through mobile terminal

Abstract: The invention discloses a device and a method for seeking help through a mobile terminal. The device comprises a seeking help mode setting module, a Sensor hub module, a seeking help mode starting module and a seeking help module, wherein the seeking help mode setting module is used for setting a seeking help mode; the Sensor hub module is used for maintaining a sensor at an open state in a screen sleep mode; the seeking help mode starting module is used for receiving a seeking help instruction through a first sensor and starting a corresponding seeking help mode according to the seeking help instruction; and the seeking help module is used for obtaining current geographic position information through a second sensor after entering the seeking help mode and sending seeking help information and the geographic position information to a corresponding linkman. Therefore, the sensor is maintained at the open state in the screen sleep mode through the Sensor hub technology, as a result, a user can carry out a one-step shortcut operation on the mobile terminal in the screen sleep mode, thereby improving the convenience and invisibility of seeking help and improving the success rate of seeking help.

Neural sensor hub system

Abstract: Systems and methods for a sensor hub system that accurately and efficiently performs sensory analysis across a broad range of users and sensors and is capable of recognizing a broad set of sensor-based events of interest using flexible and modifiable neural networks are disclosed. The disclosed solution consumes orders of magnitude less power than typical application processors. In one embodiment, a scalable sensor hub system for detecting sensory events of interest comprises a neural network and one or more sensors. The neural network comprises one or more dedicated low-power processors and memory storing one or more neural network programs for execution by the one or more processors. The output of the one or more sensors is converted into a spike signal, and the neural network takes the spike signal as input and determines whether a sensory event of interest has occurred.

Location based advertising and querying for low power devices in a wireless local-area network

Abstract: Apparatuses, methods, and computer readable media are disclosed for location based advertising and querying for low power devices in a wireless local -area network. An apparatus is disclosed including memory and processing circuitry couple to the memory, where the processing circuitry is configured to: encode a location-based advertisement (LBA) frame comprising a first location identifier (LID) and a duration, configure the access point to transmit the LBA frame to a sensor hub with a second LID, where the first LID and the second LID match, and decode a feedback report from the sensor hub, where the feedback report is in response to the LBA frame. The feedback report may include measured data from one or more internet of things (IoT) devices, and some of the measured data may be collected from the IoT devices during the duration. An apparatus of a sensor hub is disclosed that includes a LID.

Method and system of updating number of steps in pedometer

Abstract: In one embodiment, the invention discloses a method of updating number of steps in a pedometer, wherein the method is based on a processor system formed by an application processor and a sensor co-processor which are connected to each other. The sensor co-processor, as a sensor hub, is connected to at least one sensor. The at least one sensor includes a pedometer sensor. The method includes the steps of: 1) the sensor co-processor closes an interrupt command that detects the pedometer sensor; 2) the sensor co-processor detects awaking status of the application processor; 3) when the application processor is under the awaked status, the sensor co-processor reads the number of steps from the pedometer sensor in certain time; and 4) the sensor co-processor sends the number of steps to the application processor which then sends the number of steps to an APP for display. The invention also discloses a system of updating the number of steps in the pedometer. The method and the system can reduce power consumption.

Sensor hub with power manager

Abstract: A computer system for household energy management having a sensor hub including environmental sensors for sensing the environment within a household, a usage data communications link providing a data link to. a device adapted to measure the electricity consumption of the household and a remote data communications link providing a data link to a remotely located computer processor, programmed to provide an intelligent power manager wherein the intelligent power manager receives usage data describing the energy consumption of the household from the sensor hub approximately in real time.

Sensor hub method and apparatus for an electrical outlet

Abstract: Apparatuses, methods and storage medium associated with a intelligent sensor hub are disclosed herein. In embodiments, an intelligent sensor hub may include a plurality of sensors, one or more communication interfaces, and a processor coupled to the sensors and the one or more communication interfaces to receive sensor data from the sensors and transmit the sensor data or results of analysis of the sensor data to an external recipient. The senor hub may further include a body encasing the sensors, the one or more communication interfaces and the processor, wherein the body includes features to facilitate the sensor hub to be disposed at an electrical outlet. Other embodiments may be disclosed or claimed.

Sensor signal reconstruction in a sensor hub

Abstract: A sensor interface circuit enables signal reconstruction on data received from a sensor prior to sending the data to various sensor clients. Multiple sensor clients have different frequencies configured to receive sensor data. The sensor interface circuit performs signal reconstructions including data interpolation to generate interpolated data signal having frequencies corresponding to the different frequencies configured for the different sensor clients. Signal reconstruction can also include filtering the data. The sensor interface circuit sends the reconstructed data to the multiple clients in accordance with their different frequencies.

Clustering protocols and a few concerns with Clustering algorithms intended for Wireless Sensor systems

Abstract: As of late, the uses of Wireless Sensor Networks (WSNs) have become hugely. In WSNs there is one component used to develop the lifespan of system and give more productive working methodology that is bunching. Grouping is a procedure to subdivide the detecting field of sensor system into number of bunches. Every bunch chooses a pioneer called group head. A bunch head might be chosen by the sensor hub in the group or pre doled out by the system originator. Upgraded Clustering can spare part of vitality in the system.

Securely routing sensor data

Abstract: Various configurations and methods for providing a secure transfer of data from computing device sensors to a Trusted Execution Environment (TEE) are disclosed. As disclosed, various data flows, data sequences, and configurations are provided to allow sensor data to maintain integrity and confidentiality while being accessed by trusted agents of a TEE. In an example, a microcontroller-based TEE is operated to communicate with a sensor hub via a secure hardware channel. The microcontroller-based TEE is configured to receive the sensor data via the secure hardware channel, and communicate the sensor data to other trusted agents in the computing system via secure communications. Other variations of secure communications among multiple sensors, trusted agents, TEEs, and third party services are also disclosed.

Environment monitoring system and method using a sensor hub

Abstract: The specification discloses an environment monitoring system which includes at least one sensor hub and communicates with an external home appliance. A control unit of the sensor hub receives a necessary environment information list from the home appliance and supplies power only to sensors which belong to the environment information list. The control unit transmits output information of sensors corresponding to the environment information list among output information of a gas sensor, dust sensor, a temperature sensor, a humidity sensor, and an illuminance sensor to the home appliance. According to an embodiment of the present invention, it is possible to separate a necessary sensor part, which is required for an environment control, from outside, and transmit and receive related information to and from living environment home appliances using a communication protocol such as Bluetooth, Zigbee, etc. Also, by using the sensor hub, it is possible to perform a stereoscopic environment monitoring for a space and link the environment monitoring system with various smart devices.

Technologies for low-power and high-accuracy timestamps

Abstract: Technologies for low-power and high-accuracy timestamps are disclosed. A compute device may have a sensor hub to capture sensor data with a corresponding timestamp. In order to save power, the sensor hub may be able to capture sensor data while the compute device is in a standby mode. However, the always running timer of the compute device may not be accessible to the sensor hub while the compute device is in the standby mode. The sensor hub may have a coarse-grained counter and/or fine-grained counter. To correct for any temporal drift, the compute device may determine an error between the always running timer and the coarse-grained and/or fine-grained counters when the compute device is out of the standby mode, and store an indication of the error in a location accessible by the sensor hub, even when the compute device is in the standby mode.

Sensor expansion type smart band and method

Abstract: The present invention discloses a smart band which freely changes the type and the number of sensors and an operation method thereof. The purpose of the present invention is to provide a sensor expanded smart band capable of exchanging a sensor mounted on the smart band or adding different kinds of sensors or removing the mounted sensor, and an operation method thereof. The sensor expanded smart band comprises: a rigid flexible PCB wherein a hardness unit and a flexible unit are formed in a band shape; a terminal hole which is formed in the flexible unit and detaches and attaches the sensor; a sensor hub included in the hardness unit; a data bus to connect the sensor hub and the terminal hole and to transfer data; and a communication unit to wirelessly transmit and receive the data of the sensor hub with a terminal.

Low power activity monitoring with adaptive duty cycle in a sensor hub

Abstract: An activity monitoring circuit enables power conservation for an activity monitoring system. The activity monitoring system includes a sensor device that generates activity data based on detected movement. An activity monitoring circuit receives the activity data as input from the sensor device, and processes the activity data. Based on the processing, the activity monitoring circuit signals the sensor device to change a duty cycle of its operation, by adjusting how long it is on and off. The activity monitoring circuit can include a sensor hub that determines an activity state indicated by the activity data and generates a prediction of stability of the determined activity state based on historical activity data. Based on activity state and stability, the sensor hub can determine a duty cycle for operation of the sensor device.

Computer-implemented method, system for outsourcing context-aware application-related functionalilties to a sensor hub, and non-transitory machine-readable medium

Abstract: A mechanism is described for outsourcing context-aware application-related activities to a sensor hub. A method of embodiments of the invention includes outsourcing a plurality of functionalities from an application processor to a sensor hub processor of a sensor hub by configuring the sensor hub processor, and performing one or more context-aware applications using one or more sensors coupled to the sensor hub processor.

MobileHub: No Programmer Effort for Power Efficiency with Sensor Hub

Abstract: T oday’s smartphones provide a rich sensing platform that developers have used in tens of thousands of mobile applications. Many of these applications require continuous sensing for tasks ranging from simple step counting to more complex fall detection, sleep apnea diagnoses, dangerous driver monitoring and others. Unfortunately, continuous sensing applications are power-hungry. Interestingly, it is neither the sensors nor the computation that make these applications battery drainers. Instead, the main processor needs to be powered on frequently to collect sensor samples, in turn increasing the power consumption [12, 9, 13]. Hardware manufacturers recognize that supporting low-power continuous sensing is crucial. To this end, companies are embedding a low power microcontroller called a sensor hub in their smartphones [11, 10, 2]. Th e sensor hub continuously collects sensor data keeping the higher power main processor idle. In practice, however, sensor hubs fail to deliver on their power-effi ciency promise. Th e problem is in the diffi culty in programming them. For example, to leverage the sensor hub for a fall detection app, the developer not only needs to write the main application, but also needs to program the sensor hub to sense and notify the main application when a fall is detected. Two approaches have been used to make it easier for developers to program a sensor hub: APIs and hardware SDKs. In the API approach [4, 1], a set of important sensor inference functions are exported via high level APIs to the app developers. Th e problem is that the APIs only support a set of predefi ned events or activities such as step counting. Today, a fall detection application cannot use any of the existing APIs to leverage the sensor hub. It is possible that sensor hub APIs will stabilize, but this is unlikely to happen for many years. Consider how location APIs have evolved since the Java Location API (JSR 179) was introduced in 2003. Sensor hubs themselves have regularly been part of phones since 2011, but it is only in 2014 that a small set of sensor APIs are aligning around common functionality. In the meanwhile, ambitious sensing applications such as BeWell [3] cannot leverage the sensor hub for power effi ciency. In the hardware SDK approach, the developer is provided with specialized tools to directly access the sensor hub. For example, TI provides a proprietary TivaWare Sensor Library [5] to allow developers access to functionality not exposed by soft ware APIs. However, MobileHub: No Programmer Effort for Power Efficiency with Sensor Hub Haichen Shen and David Wetherall University of Washington Aruna Balasubramanian Stony Brook University Anthony LaMarca Intel

The Safety Framework in Network Security utilizing Cryptographic Systems

Abstract: Remote Sensor Networks comprise of independent sensor hubs appended to one or more base stations. As Wireless sensor systems proceed to grow, they get to be helpless against assaults and subsequently the requirement for powerful security mechanisms. Identification of suitable cryptography for remote sensor systems is a vital test because of the constraint of energy, computation capacity and capacity assets of the sensor nodes.Symmetric based cryptographic plans do not scale well when the quantity of sensor hub increases. Hence open key based plans are broadly used.We present here two open – key based calculations, RSA and Elliptic Curve Cryptography (ECC) and discovered that ECC has a noteworthy point of preference over RSA as it decreases the calculation time furthermore the measure of information transmitted and put away.

Apparatus for facilitating connection with external sensor module

Abstract: An apparatus (100) for facilitating a connection with an external sensor module (110,130), the apparatus (100) may include a processor (122) and a sensor hub (154) coupled with the processor (122), wherein the sensor hub (154) may include a bus to provide a connection between the apparatus (100) and the external sensor module (110,130). The apparatus (100) may further include signal pattern generation circuitry (140) coupled with the sensor hub (154) to generate a signal pattern in response to a connection of the external sensor module to the apparatus via the bus or disconnect of the external sensor module (110,130) from the bus, to indicate an insert or remove event to the apparatus (100), and facilitate the connection of the apparatus (100) with the external sensor module (110,130).