360 results about "Accelerometer data" patented technology

Systems and methods are disclosed herein for transmitting telematics data from a vehicle. The systems include a smartphone holder that provides a communications link between a smartphone and a vehicle computer, through the smartphone dataport and the vehicle onboard diagnostics (OBD) port. The smartphone holder is configured to keep the smartphone in a stable, known position and orientation with respect to the vehicle, such that data from an accelerometer in the smartphone can be calibrated. The smartphone accelerometer data and telematics data from vehicle telematics sensors is then transmitted via the smartphone or stored locally.

Methods and apparatus for gathering and processing data sensed on an individual from portable heart monitors and accelerometers aligned along three orthogonal axes determine substantially equivalent oxygen consumption information during an individual's physical activities without requiring gas-flow or gas-analysis equipment. Such information promotes calculations of physiological energy expenditures, and analyses of the accelerometer data associated with a specific sensing location on an individual's body provide indication of the particular physical activity for selecting appropriate scaling factors and filtering requirements in analyzing the data to determine various parameters indicative of the individual's expenditure of physiological energy, and other health-oriented factors.

Wireless input device apparatus allows a user to input data into cellular phones, personal digital assistant, TVs and computers . . . The user holds a wireless stylus and performs movements corresponding to graffiti. In the preferred embodiment, graffiti refers to PalmPilot graffiti. The wireless stylus identifies the user symbols and wirelessly sends them to a terminal device. In the preferred embodiment, the wireless stylus uses a BlueTooth transmitter for connecting and sending data to terminal devices, thus, the wireless stylus can be used for inputting data into any BlueTooth compliant system. In another embodiment, the wireless stylus sends the raw accelerometer data to a terminal device, which identifies the user symbols.

A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.

Disclosed is a system and method for onboard optimal estimation of heading, pitch, and roll through real-time measurement of magnetic field, acceleration and angular motion in three dimensions. Magnetometer information is used to create an initial reference from which movement is measured. Thus, the process does not have to start when the body is in a known position. Further, the device does not have to continually rely on accelerometer data to get roll and pitch. To do this magnetic field data is used to complement gyro information. The magnetic data is used to estimate pitch, roll, and heading.

Embodiments of the invention may use a first accelerometer to measure first acceleration data of a first device. Other interaction data, including time data and geographic location data, generated by the first device may also be recorded. First acceleration data is compared by a remote server computer to second acceleration data generated by a second accelerometer in a second device. If the first and second accelerometer data are substantially equal, it can be determined that the devices have interacted and communications can be initiated. After communications are initiated, a financial transaction is conducted. Accelerometer data may be stored and / or used as part of the authentication process in a payment processing network. Other embodiments of the invention use the accelerometer to generate movement security data to make financial transaction more secure. Accelerometer data is used for authentication, security, encryption, session keys, non-repudiation, or fraud protection.

A virtual keyboard may be created on the display screen or soft input panel of a portable electronic device. The virtual keyboard may be created such that it is larger than the screen size of the portable electronic device. The virtual keyboard may be moved or slid across the screen to gain access to the keys thereon. Movement of the portable electronic device may be used to cause a corresponding movement of the virtual keyboard. The movement of the portable electronic device may be measured through the use of accelerometer data. The virtual keyboard may be configured by the user of the portable electronic device.

Novel techniques for estimating compass and gyroscope biases for handheld devices are disclosed. The handheld devices can include wireless phones, navigational devices and video gaming systems. The compass bias can be determined by causing a small movement of the handheld device and comparing the data obtained from the compass with the data obtained from the gyroscope. The gyroscope bias can be determined by obtaining a quaternion based angular velocity term of the handheld device when the accelerometer and compass data are reliable, and then comparing the angular velocity term to with the gyro data estimate the gyro bias. When the compass and / or the accelerometer data are unreliable, a previously determined quaternion angular velocity term is used, which was determined when the compass and the accelerometer were providing reliable data. The gyroscope bias can also be determined by measuring gyroscope biases at various temperatures in a non-factory setting, and storing that data in a memory, and using the data to estimate gyro biases when the accelerometer and / or the compass data are unreliable.

Radio frequency identification tags are spaced apart from one another in or around a work area for the vehicle. Each of the tags has a corresponding unique identifier. A path planning module establishes a path comprising a path segment between at least two of the radio frequency identification tags. The path segment comprises at least one of a distance between the tags, an angular heading between the tags, and unique identifiers corresponding to the tags. A data processor determines an estimated position of the vehicle based on at least one of odometer data and accelerometer data. A vehicle controller navigates between at least two of the radio frequency identification tags based on the estimated position, the distance and the angular heading. A reader reads the tag identifiers of each tag to track the progress of the vehicle to facilitate execution of or retrieval of any next path segment of the vehicle along the established path.

The subject invention is directed to a computer-implemented method, a device and a system for detecting and scoring exercises, including maintaining, by a mobile device, a library of motion signatures, in which a motion signature for an exercise is a sequence of characteristic features and a characteristic feature is a movement in the exercise; receiving, by a mobile device, a time series of data from a sensor device, the sensor device attached to the head or torso of a user, the data comprising accelerometer data from an accelerometer included in the sensor device, detecting a single repetition of a designated exercise performed by the user and calculating a motion score for the single repetition of the detected exercise.

A drill string component includes a box-end and a pin-end. Each end includes a signal transceiver, which are operably coupled together. Each signal transceiver communicates with another signal transceiver in another component to form a communication network in the drillstring. An end-cap may be placed in the central bore of the pin-end of a component to form an annular chamber between a side of the end-cap and a wall of the central bore of the pin-end when the end-cap is disposed in the central bore. In some embodiments, an electronics module may be placed in the annular chamber and configured to communicate with one of the signal transceivers. Accelerometer data, as well as other sensor data, at various locations along the drillstring may be sampled by the electronics module and communicated to a remote computer. Drillstring motion dynamics, such as vibration, may be determined based on the accelerometer data.

A client device sends the following data to the servers: still frames from captured video and in some embodiments other data such as GPS coordinates, compass reading, and accelerometer data. The servers break down each frame into feature points and match those feature points to existing point cloud data to determine client device's point of view (POV). The servers send the resulting information back to the client device, which uses the POV information to render augmentation content on a video stream. Information sent by client devices to the server can be used to augment the feature-point cloud.

A system (800) for processing accelerometer data is disclosed. The system (800) includes an accelerometer (806), a first processor (810), a power supply (816), and a second processor (804). The accelerometer (806) measures a physiological acceleration parameter. The first processor (810) is operatively connected to the accelerometer (806). The first processor (810) is configured to receive the acceleration parameter from the accelerometer (806) and configured to output machine readable acceleration data. The machine readable acceleration data includes time domain accelerometer data. The power supply (816) is electrically connected to the first processor (810). The second processor (804) is configured to receive the machine readable acceleration data and transform the time domain accelerometer data into frequency domain accelerometer data. The frequency domain accelerometer data may be used to estimate patient healing status.

A sensor tag which in use will be affixed to a vehicle for obtaining vehicle telematics data includes a battery for powering the tag and a processor running executable code to process accelerometer data. An accelerometer measures the acceleration of the tag and thereby of the vehicle, and also controls the operation of the processor. A memory is used for storing a unique tag identifier of the tag and for storing trip data including information about trips and acceleration data. Finally, a communication module is used for short range wireless communication with a mobile communications device located in the vehicle via a short range wireless communications protocol, the communication module transmitting the tag's unique identifier and a sequence of time stamped acceleration data. The mobile communications device obtains GPS data, combines this with the acceleration date and transmits this to a server for analysis.

Embodiments of the invention relate to spectrally and spatially dissecting accelerometer data from a signal of a motion sensor. Data received from the dissected signal is reduced to statistical averages for selected frequency bands and spatial dimensions. A time segment subject over which the signal was acquired is segmented so that the dissected signal may be evaluated per the segmentation of the time. Change of orientation towards gravity of the sensor is analyzed with respect to a change of orientation from a before impact segment to an after impact segment. The analyzed change in orientation value with respect to a threshold is a factor in determination of a fall of a body to which the sensor is attached.

Techniques for communicating with a user on a network include receiving acceleration data that indicates acceleration of a mobile network node associated with a user of a network. The user is a living user of the network, such as a human user, or a vehicular user of the network, such as a satellite, plane, ship, automobile or robot. A communication state for the user is determined based at least in part on the acceleration data. The communication state indicates a type of network communication suitable for communicating with the user. Network communications with the user are based on the communication state. Among other uses, such techniques allow a network communicating with a human through a mobile node carried by the human to infer from stopped or unusual motions when the human's ability to receive or act on communications is impaired or otherwise affected.

Method and apparatus of integrating a three-axis magnetometer and a three-axis accelerometer to provide attitude and heading, calibrated magnetometer and accelerometer data, and angular rate, while removing sensor error sources over time and temperature and to compensate for hard and soft iron distortions of the Earth magnetic field. Filtered accelerometer data are corrected to account for various error sources. The magnetic heading is calculated from a horizontal magnetic field vector transformed from three dimensional Earth's magnetic field vector by using quasi-static roll and pitch angles from the filtered accelerometer data. A first Kalman filter estimates the state vector, based on the principle that the magnitude of local Earth's magnetic field vector is constant, to form hard and soft iron correction matrices. A second Kalman filter estimates a correction matrix of coupled remaining soft iron and the misalignment of the magnetometer and the accelerometer, as the dot product of local Earth's magnetic field vector and a corrected gravitational acceleration vector, at a quasi-static position, is constant. The three dimensional Earth's magnetic field vector is received by removing the hard and soft irons through the soft iron and hard iron correction matrixes.

A system comprising a portable, hand-held device having an accelerometer controlled by a new protocol which acts to output accurate and rapid communication concerning one or more predetermined events to a monitoring service and to receive input communications through satellite communication and / or other communication means. In another embodiment, an installed device such as an AVL comprises communication means for short burst communication over satellite. The most preferred embodiments of the present system are also GSM and GPS enabled, thereby providing GSM and GPS positioning information that can be used in conjunction with the accelerometer data to monitor and detect predetermined events and, based upon the specific nature of the event, generate one or more alerts.

A turn indicator system determines when a moving vehicle has completed a turn and automatically turns off a turn indicator light. The system includes turn indicator lights, an accelerometer, and a processor. The accelerometer can sense acceleration in two-axis or three-axis. The processor is configured to receive the sensed accelerometer data and to determine when a vehicle has completed a turn based on the received accelerometer data. In response to determining that a turn is completed, the processor signals the appropriate turn indicator light to turn off. The turn indicator system can be implemented in a single-track vehicle, such as a bicycle or a motorcycle, or in a multi-track vehicle, such as an automobile.

Methods and systems for identifying a spatial relationship between a frame of reference associated with an accelerometer mounted in a vehicle and a frame of reference associated with the vehicle Accelerometer data is received from an accelerometer and vehicle data is received from a vehicle network of the vehicle, a long term average of the accelerometer data is used to determine the direction of gravity in the frame of reference of the vehicle. In addition the vehicle date is used to determine changes in speed of the vehicle, and thus to determine the direction of the longitudinal axis of the vehicle in the frame of reference of the vehicle. From these determined directions, the spatial relationship between the frames of reference may be determined.

The invention relates to the technical field of unmanned aerial vehicles and discloses a pan-tilt attitude detection method and a pan-tilt attitude detection device. The method comprises the following steps: acquiring data of a pan-tilt inertia measurement unit, wherein the data of the inertia measurement unit includes angular velocity data of a gyro and accelerometer data; performing quaternion integral operation on the data of the inertia measurement unit; changing the data of the inertia measurement unit from quaternion expression into rotation matrix expression; and changing the data of the inertia measurement unit from the rotation matrix expression into eulerian angle expression, wherein the step of performing the quaternion integral operation on the data of the inertia measurement unit comprises the following sub-steps: by taking the rotation matrix expression as feedback, performing feedback correction on the quaternion expression, acquiring pan-tilt attitude data through an attitude heading system, performing pan-tilt attitude expression by adopting different algorithms and compensating and correcting the pan-tilt attitude. Therefore, the accuracy of the pan-tilt attitude detection is improved.

A method for detecting an event occurring during operation of a vehicle includes receiving indications of a plurality of variables from an installed device communicatively coupled to the mobile device via an internal communication link. The method further includes analyzing the received indications of the plurality of variables to detect the event occurring during the operation of the vehicle. Still further, the method includes, upon detecting the event, initiating: (i) a first communication session between the mobile device and an entity outside of the vehicle, and (ii) a second communication session between the mobile device and the installed device, wherein the mobile device forwards content communicated via the first communication session to the installed device via the second communication session such that the installed device presents the content to the vehicle operator. In one aspect, air pressure wave sensor and accelerometer data may trigger automatic crash notifications to emergency responders.

A vehicle is disclosed that uses data from different types of on-board sensors to determine whether meteorological precipitation is failing near the vehicle. The vehicle may include an on-board camera capturing image data and an on-board accelerometer capturing accelerometer data. The image data may characterize an area in front of or behind the vehicle. The accelerometer data may characterize vibrations of a windshield of the vehicle. An artificial neural network may run on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify meteorological precipitation in an environment of the vehicle using the image data and the accelerometer data as inputs. The classifications of the artificial neural network may be used to control one or more functions of the vehicle such as windshield-wiper speed, traction-control settings, or the like.

An apparatus for instantaneously translating sign language in to voice and video is introduced. The present invention uses accelerometer sensors to compute the position and movement of each finger, thereby instantaneously determining the posture of the hand. The location of fingers with respect to body is accurately determined by placing RFID tags at different parts of the body while a single RFID reader is placed on the index finger. Data from accelerometer sensors and RFID reader are multiplexed and sent wirelessly via a controller to a laptop processor where ultimate conversion of sign language to text / voice is achieved. Further, various characteristics of sign language comprising hand position, hand posture, hand orientation and hand movement are detected based on the accelerometer data and RFID data.