Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: An apparatus comprising a sensor interface, a memory and a processor. The sensor interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to (i) analyze the sensor data samples stored in the memory to detect a pattern, (ii) determine time efficient operational parameters for the vehicle in response to (a) a destination and (b) an estimated travel time to the destination. The estimated travel time may be based on current conditions of the vehicle indicated by the pattern. The time efficient operational parameters may be selected to decrease the estimated travel time. At least one of the sensor data samples may comprise telemetry data.

Abstract: A vehicle may have a power train, a sensor interface, a storage device and a processing device. The sensor interface may receive sensor data samples during operation of a vehicle. The storage device may store the sensor data samples over a number of points in time. The processing device may analyze the sensor data samples stored in the storage device to detect a pattern and adjust an amount of power applied to the power train of the vehicle in response to the pattern. The pattern may be used to predict future conditions for the vehicle. The amount of power may be adjusted to improve power-resource-consumption efficiency.

Abstract: A vehicle comprising a power train, a drive train, a solar array, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of the vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern, (ii) monitor an amount of solar power converted using the solar array, (iii) determine an energy usage for traveling a route based on the pattern and (iv) adjust an amount of power applied to the power train in response to the energy usage for traveling the route. The amount of power applied to the power train may be adjusted in response to the amount of solar power.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive (i) sensor data samples during operation of a vehicle and (ii) data from a telemetry system. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to (i) analyze the sensor data samples stored in the memory to determine (a) operational parameters of the vehicle and (b) information associated with a second vehicle and (ii) adjust the operational parameters in response to the information associated with the second vehicle. The data from the telemetry system and the information associated with the second vehicle may be used to determine an amount of space between the vehicle and the second vehicle. The operational parameters may be adjusted to keep the amount of space within a pre-determined range.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: A system for monitoring injuries comprising a plurality of wearable user input devices and a wireless transceiver. Each of the plurality of wearable user input devices may be configured to detect motion patterns of a user. Each of the plurality of wearable user input devices may be configured as performance equipment. The wireless transceiver may be configured to communicate the motion patterns to a user device. The user device may be configured to (i) develop and store reference patterns related to impacts, (ii) compare the detected motion patterns with the reference patterns, (iii) estimate a location and direction of an impact based on the comparison, (iv) accumulate data from the estimated impact with previously suffered impact data, (v) aggregate results based on the accumulated impact data and context information and (vi) generate feedback for the user based on the aggregated results.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to (a) receive (i) sensor data samples during operation of a vehicle and (ii) data from a telemetry system and (b) connect to a remote database. The memory may be configured to store (a) the sensor data samples over a number of points in time and (b) the data from the telemetry system. The processor may be configured to (i) analyze the sensor data samples stored in the memory to determine current conditions and (ii) associate the current conditions with a route segment traveled by the vehicle. The route segment is identified according to the data from the telemetry system. The current conditions associated with the route segment are uploaded to the remote database to enable historical route information for a plurality of route segments.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: An apparatus comprising a sensor interface, a memory and a processor. The sensory interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to (i) analyze the sensor data samples stored in the memory to detect a pattern and (ii) predict a destination of a driver in response to (a) the pattern and (b) historical data associated with operation of the vehicle. At least one of the sensor data samples may be driver-related. At least one of the sensor data samples may comprise telemetry data.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: A vehicle comprising a power train, a drive train, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of a vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern, (ii) monitor operational parameters of the vehicle based on the pattern and (iii) determine an efficient speed to travel a route in response to the operational parameters. An amount of power corresponding to the efficient speed is applied to the power train.

Abstract: A vehicle comprising a drive train, an internal combustion engine, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of a vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern and (ii) manage fuel supplied to the internal combustion engine in response to (a) current conditions and (b) operational parameters of the vehicle. The pattern is used to determine the current conditions. The fuel supplied to the internal combustion engine is managed to enable efficient fuel usage.

Abstract: An apparatus comprising a sensor interface, a memory and a processor. The sensor interface may be configured to receive sensor data samples during operation of a vehicle. At least one of the sensor data samples may be driver-related. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to (i) analyze the sensor data samples stored in the memory to detect a pattern and (ii) generate a likelihood that a particular driver is operating the vehicle based on the pattern detected.

Abstract: A semantic note taking system and method for collecting information, enriching the information, and binding the information to services is provided. User-created notes are enriched with labels, context traits, and relevant data to minimize friction in the note-taking process. In other words, the present invention is directed to collecting unscripted data, adding more meaning and use out of the data, and binding the data to services. Mutable and late-binding to services is also provided to allow private thoughts to be published to a myriad of different applications and services in a manner compatible with how thoughts are processed in the brain. User interfaces and semantic skins are also provided to derive meaning out of notes without requiring a great deal of user input.

Abstract: An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.

Abstract: A system has a measuring device providing a quantitative output of a physiological condition of a subject, a non-transitory identifier affixed to a surface proximal to the measuring device, an imaging apparatus having an Internet connection, and an internet-connected server coupled to a data repository, the Internet-connected server executing coded instructions on a processor. The physiological measuring device is engaged, providing a quantitative indication of the physiological condition of the subject, an image capture of the readout and the non-transitory identifier is captured by the imaging apparatus in a single image, and the captured image is transmitted to the internet-connected server.

Abstract: A method and system for collecting information, enriching the collected information and linking the enriched information is provided. The system includes an application server that is accessible by users via their computer device for performing a variety of functions encompassed in a lifestream data function. Lifestreams (or lifestream data) contains notes, recordings and annotation data elements. The goal of the lifestream data functions is to ultimately enrich the individual data elements in each lifestream which then form a network of enriched lifestreams or aspects of enriched lifestreams to provide a user with: (a) a better organization of his/her data, notes, thoughts and intentions, (b) a better search or filter tool to search for data, notes, thoughts and intentions, and/or (c) a better ranking mechanism for ranking or determining relevance of data, notes, thoughts and intentions.