Abstract: An activity classification device is disclosed. The activity classification device comprises one or more motion sensors and a memory configured to receive signals from the one or more motion sensors. The device further includes a processor in communication with the memory. Finally, the device includes a classification algorithm executed by the processor, the classification algorithm for identifying activities that a user is engaged in. The memory may also record a user's activity log, calorie count and an RF module, which transmits the recorded data to a host either upon request or continuously.

Abstract: The systems and methods provided herein are directed to a device for tracking a jumper's elevation during a parachute jump. The device includes an active sensor for monitoring a distance to the ground, which is disposed at an angle and transmitted from the jumper's calf to reduce the chance of self-obstruction. The device notifies the jumper in one of several ways when a threshold elevation is reached, and may take additional automated actions at particular elevation thresholds.

Abstract: Estimating fluid related quantities of a first fluid compartment and a second fluid compartment disposed in or connected to a moveable platform. Measurements from the first fluid level sensor, the second fluid level sensor, the third fluid level sensor, the fourth fluid level sensor are combined into a unified calculation. The fluid related quantities are calculated from the unified calculation, the fluid related quantities comprising all of: (1) a fluid orientation estimate which is common to both the first fluid compartment and the second fluid compartment, (2) a first fluid height estimate for the first fluid compartment, and (3) a second fluid height estimate for the second fluid compartment, whereby (1), (2), and (3) form a set of results.

Abstract: Facilitating dynamic adjustment of a click/unclick threshold corresponding to a force-based tactile sensor is presented herein. A system can comprise a tactile sensor comprising force-based sensor(s); and a motion detection component that can determine a rate of change of a movement that has been detected via a group of sensors comprising the force-based sensor(s), and based on the rate of change of the movement, modify a defined sensitivity of the force-based sensor(s) with respect to detection of a click and/or unclick event corresponding to the tactile sensor. Further, the motion detection component can decrease the defined sensitivity with respect to detection of the click and/or unclick event in response to the rate of change being determined to satisfy a defined condition representing an increase in the speed at which the stylus or the finger has moved across the tactile sensor.

Abstract: A system for automatically detecting an operational event for a bulk material hauler vehicle. The system includes a sensor mounted on the bulk material hauler vehicle, which is adapted for hauling a bulk material such as an aggregate. The system further includes a telematics system provided on the bulk material hauler vehicle. The telematics system includes a processor running software (or executing instructions or code) for detecting the operational event (e.g., providing functions of a load and unload detection module or discriminator as described herein). During vehicle operations, the sensor transmits sensor data to the telematics system, and the detecting of the operational event includes retrieving a signature definition for the operational event and then verifying the sensor data meets requirements of the signature definition. In some embodiments of the system, the operational event is loading the bulk material on or unloading the bulk material from the vehicle.

Abstract: A computing system includes a first hardware element having a first accelerometer and a first gyroscope, and a second hardware element having a second accelerometer and a second gyroscope. The first and second hardware elements are moveable with respect to each other. The computing system recursively generates a result signal indicative of a relative orientation of the first and second hardware elements with respect to each other. The result signal may be generated by generating a first intermediate signal indicative of a angle between the first and second hardware elements based on signals generated by the first and second accelerometers and generating a second intermediate signal indicative of the angle based on signals generated by the first and second gyroscopes. The result signal indicative of the angle may be generated as a weighted sum of the first intermediate signal and the second intermediate signal. At least one of the first and second hardware elements is controlled by on the result signal.

Abstract: Physiological signal processing systems include a photoplethysmograph (PPG) sensor that is configured to generate a physiological waveform, and an inertial sensor that is configured to generate a motion signal. A physiological metric extractor is configured to extract a physiological metric from the physiological waveform that is generated by the PPG sensor. The physiological metric extractor includes an averager that has an impulse response that is responsive to the strength of the motion signal. Related methods are also described.

Abstract: The present invention provides a system for monitoring a physiological parameter of players engaged in a sporting activity. The system includes a plurality of reporting units, a controller, and a signaling device. The reporting unit has an arrangement of sensing devices that measure the physiological parameter of an individual player and generate parameter data. The controller receives the parameter data transmitted from each reporting unit and then processes the parameter data to calculate a parameter result. When the parameter result exceeds a predetermined value, the controller communicates with a signaling device that provides an alert to sideline personnel to monitor the player(s) in question. The system also includes a remote storage device for holding historical data collected by the system which permits subsequent analysis.

Abstract: A swing analysis device includes: an acquisition unit (swing video acquisition unit) acquiring a swing video of a user; a processing unit deciding an impact timing and a tempo, based on the swing video; and a display unit displaying the swing video and the tempo. The display unit, while displaying the swing video, displays the tempo when the impact timing is reached in the swing video.

Abstract: This disclosure relates to systems and methods to analyze gait, balance or posture information extracted from data collected by one or more wearable and connected sensor devices with sensors embedded therewithin. The embedded sensors include a three-axis accelerometer, a three-axis gyroscope and an array of pressure sensors. Sensor data detected by the sensors can be received by a mobile computing device, which can analyze the sensor data to identify a pattern related to gait, balance or posture within the sensor data; and apply a statistical/machine learning-based classification to the pattern related to gait, balance or posture to assign a clinical parameter to the pattern characterizing a risk of a slip, trip and fall event.

Abstract: Sets of drones are deployed to create an ad-hoc 5G network in a physical environment to collect sensor data and generate a map of the physical environment in real time. Master drones configured with 5G capabilities are deployed to the physical area to create the 5G ad-hoc network, and swarm drones configured with sensors are deployed to gather environmental data on the physical environment. The gathered data is transmitted to the master drones to generate a map. The deployable 5G network is leveraged to identify precise locations for the swarm drones and each instance of sensor data collected by the swarm drones in order to create an accurate and detailed map of the environment. The map can include information regarding the structural layout of the space and environmental characteristics, such as temperature, the presence of smoke or other gases, etc.

Abstract: The present invention relates to an apparatus (100), system (200), method (300), and computer program for distinguishing between active and inactive time periods of a subject. An input unit (110) receives time-dependent activity data (120) (e.g., corresponding to a level of activity). An activity threshold providing unit (130) provides an activity threshold (140) for the subject. An activity assessment unit (150) classifies the time-dependent activity data (120) based on the activity threshold (140). The activity threshold providing unit (130) provides the activity threshold (140) individually for said subject. The present invention provides an approach to patient-tailor the activity threshold (140) for periods of activity and inactivity.

Abstract: A method for determining when a device is attached to a user, the method comprising activating an accelerometer provided at the device; activating a vibration motor provided at the device; measuring with the accelerometer vibrations at the device created by the vibration motor; and using the accelerometer measurements to determine whether the device is attached to the user.

Abstract: A position-finding assist system includes a glasses-type wearable terminal worn by a user; a terminal position information acquisition unit that acquires position information relating to the wearable terminal; a terminal orientation information acquisition unit that acquires orientation information relating to the wearable terminal; a gaze information acquisition unit that acquires gaze information relating to the user; a target parking position information acquisition unit that acquires target parking position information relating to an occupant-carrier vehicle; and a control unit that displays the target parking position information on a lens section of the wearable terminal so as to be overlaid on an actual scene viewed by the user through the lens section, to assist the user in finding a target parking position, based on the position information, the orientation information, the gaze information, and the target parking position information.

Abstract: The invention relates to a method for obtaining information about a farm animal, wherein a device (a) is attached to the head region of an animal, said device containing at least one acceleration sensor by means of which recurring acceleration data is measured, wherein the acceleration data is evaluated using automatic data processing means, and, as an outcome of the evaluation, is indicative of the activities and/or conditions of the animal. The acquired acceleration data is evaluated in order to detect the swallowing processes carried out by the animal.

Abstract: A interface comprising a hand operated input device with a series of activation points activated by the digits (fingers and/or thumb) of a user; a sensor component measuring a current motion, orientation, and/or position of the input device and a output component interconnected to the activation points and the sensor component for outputting in a series the currently active activation points and the current motion, orientation, and/or position of the input device.

Abstract: The present disclosure relates to a switching power supply, an over-temperature control and protection method, and a power control method. The switching power supply includes: a converter module including at least one main power switch; a direction detection module configured to obtain installation direction information of the switching power supply; and a process module configured to perform a preset operation in accordance with the installation direction information of the switching power supply. The present disclosure may realize power control of the switching power supply and meet over-temperature protection requirements under various installation directions.

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: A gait pathology detection and monitoring system, and method using rotation, scale, and offset invariant dynamic time warping (RSOI-DTW).

Abstract: A step count measuring apparatus that measures the step count based on a degree of acceleration is provided. The step count measuring apparatus includes a local maximum/minimum value detection unit configured to detect at least one of a local maximum value and a local minimum value of the acceleration during a predetermined time, a threshold value determination unit configured to determine a threshold value based on at least one of the local maximum value and the local minimum value detected by the local maximum/minimum value detection unit, and a step count measuring unit configured to measure the step count based on the acceleration and the threshold value that has been determined by the threshold value determination unit.

Abstract: Techniques are disclosed for systems and methods for navigating mobile structures. The mobile structure may include a main attitude & heading reference system (AHRS) and one or more devices. The one or more devices may include a slave AHRS such as a gyroscope. Data may be transmitted from the main AHRS to the one or more devices through a network. Latency may be present in the transmission of data. As such, data from the slave AHRS may be used to determine changes in heading and/or attitude of the mobile structure to compensate for such latency. In addition, such data may be used to determine changes in wind direction and/or heading experienced by the mobile structure.

Abstract: A method of continuous decoding of motion for a direct neural interface. The method of decoding estimates a motion variable from an observation variable obtained by a time-frequency transformation of the neural signals. The observation variable is modelled using a HMM model whose hidden states include at least an active state and an idle state. The motion variable is estimated using a Markov mixture of experts where each expert is associated with a state of the model. For a sequence of observation vectors, the probability that the model is in a given state is estimated, and from this a weighting coefficient is deduced for the prediction generated by the expert associated with this state. The motion variable is then estimated by combination of the estimates of the different experts with these weighting coefficients.

Abstract: Embodiments of the present disclosure provide systems and methods that establish non-linear components of gyroscope errors which have not been studied or explored earlier. These errors include but are not limited to non-linear dynamic error which is a function of the angular velocity itself. Bias instability has been observed within the same environment of temperature and atmospheric pressure. In other words, the embodiments of the present disclosure analyse and models static bias errors and dynamic non-linear errors in the gyroscope sensor which may be used to model and correct errors accordingly In subsequent measurements. The system provide solution(s) when there is no way of directly estimating temperature for bias correction of gyroscope, by estimating a temperature change by considering indirect measurements from other sensors present onboard the device.

Abstract: An information processing system may be configured to count the number of one or more first time periods being included in a target time period. Each of the one or more first time periods has a plurality of communications each of which satisfies at least a condition. The plurality of communications includes two communications which are more distant from each other than a second time period which is shorter than the first time period.

Abstract: A system and method uses multiple devices in concert as security for accessing an account. The system and method may use one or more security measures based on unique gestures, coordinated gestures between two devices, presence of multiple devices, sequence of actions, and other measures to prevent fraud. Additionally, these security measures may be rearranged or changed such that the devices may collaborate to provide access to multiple different accounts.

Abstract: In order to avoid erroneous count of the number of steps in a case where a user is using a traveling means other than walking, a step counting section (13) switches between acceleration value change period ranges for counting the number of steps, depending on whether a traveling means determining section (11) determines that the user is walking or that the user is using a traveling means other than walking.

Abstract: In an exercise support device of the present invention, acceleration signals in three axis directions including vertical, longitudinal, and lateral directions corresponding to the motion of a user performing exercise of cyclically moving feet are obtained, and a first maximum value in one cycle of a foot movement in the vertical acceleration signal is obtained. Subsequently, a search is made for first and second change points related to foot landing and takeoff motions in a composite acceleration signal obtained by combining acceleration signals in at least two axis directions, in forward and backward directions of the time point of a second maximum value of the composite acceleration signal, within the cycle. Then, a time period between the first and second change points is obtained as a change point interval, and a foot landing period while exercising is calculated based on the first maximum value and the change point interval.

Abstract: Tools and techniques for providing joint position error test system are provided. A system includes a head sensing unit coupled to a joint position error processor. The head sensing unit may include a positional sensor and further be configured to be coupled to the head of a test subject. The joint position error processor may include a processor, and non-transitory computer readable media comprising instructions executable by the processor to record reference sensor data from the positional sensor when the test subject's head is in a reference position, record return sensor data when the test subject's head is in a return position. The instructions may further be executable to determine a position error based on the reference sensor data and the return sensor data, and to further determine the presence of a condition of the test subject based on the position error.

Abstract: Facilitating dynamic adjustment of a click/unclick threshold corresponding to a force-based tactile sensor is presented herein. A system can comprise a tactile sensor comprising force-based sensor(s); and a motion detection component that can determine a rate of change of a movement that has been detected via a group of sensors comprising the force-based sensor(s), and based on the rate of change of the movement, modify a defined sensitivity of the force-based sensor(s) with respect to detection of a click and/or unclick event corresponding to the tactile sensor. Further, the motion detection component can decrease the defined sensitivity with respect to detection of the click and/or unclick event in response to the rate of change being determined to satisfy a defined condition representing an increase in the speed at which the stylus or the finger has moved across the tactile sensor.

Abstract: An exemplary hearing device configured to be worn by a user includes an accelerometer configured to output accelerometer data representative of an acceleration of the hearing device and a processor configured to maintain data representative of a walking detection algorithm, determine an optimized parameter for the user for use with the walking detection algorithm, and apply, in accordance with the optimized parameter, the walking detection algorithm to the accelerometer data to determine a walking state of the user while the user wears the hearing device.

Abstract: A method performed by a wearable audio output device worn by a user is provided for controlling the reproduction of external noise. At least one sound is detected in the vicinity of the audio output device using at least one microphone in the audio output device. A state of motion of the user is detected using at least one sensor in the audio output device. Based on the at least one sound and the state of motion of the user, at least one of a level of attenuation or a level of noise masking is determined to be applied by the audio output device to the external noise.

Abstract: Embodiments of a method for improving movement characteristic determination using a plurality of mobile devices associated with a vehicle can include: collecting a first movement dataset corresponding to at least one of a first location sensor and a first motion sensor of a first mobile device of the plurality of mobile devices; collecting a second movement dataset corresponding to at least one of a second location sensor and a second motion sensor of a second mobile device of the plurality of mobile devices; determining satisfaction of a device association condition indicative of the first and the second mobile devices as associated with the vehicle, based on the first and the second movement datasets; and after determining the satisfaction of the device association condition, determining a vehicle movement characteristic based on the first and the second movement datasets.

Abstract: An apparatus and a method of estimating mass of a shipping container while being transported on a platform. At first, acceleration data of the shipping container is received or acceleration information is computed from at least one sensor operatively attached to the shipping container. Further, an acoustic signal associated with the shipping container is received. Furthermore, the acceleration data or the computed acceleration information is processed over a time interval when the acoustic signal becomes greater than a threshold, to estimate the mass of the shipping container from at least one of the acceleration data and the computed acceleration information.

Abstract: The present invention concerns a method for detecting parasitic movements during static alignment of an inertial measurement unit (3), the method being characterised by steps of: receiving radio navigation measurements acquired (100) by a receiver (1) from signals previously transmitted by a set of radio navigation satellites (S), estimating (260) a movement of the inertial measurement unit from the acquired measurements, comparing (280) the estimated movement with a predefined threshold, indicating (290) a parasitic movement of the inertial measurement unit when the movement crosses the predefined threshold, in which the estimation (260) of the movement of the inertial measurement unit (3) from the acquired measurements comprises the following steps, implemented by the data processing unit for each satellite: calculating (262) a position variation from a phase of a first radio navigation signal transmitted by the satellite and received by the receiver at an initial reception time, and from a phase of a secon

Abstract: Described herein is a method of operating an electronic device that includes collecting initial motion activity data from at least one sensor of the electronic device, and generating a initial probabilistic context of the electronic device relative to its surroundings from the initial collected motion activity data using a motion activity classifier function. The collected motion activity data is stored in a training data set, and the motion activity classifier function is updated using the training data set. The method also includes collecting subsequent motion activity data from the at least one sensor of the electronic device, and generating a subsequent probabilistic context of the electronic device relative to its surroundings from the subsequently collected motion activity data using the updated motion activity classifier function.

Abstract: Systems and methods are disclosed for receiving and transmitting accelerometer data and/or usage data, and analyzing the data to detect movement or usage of the device within a vehicle. A device, such as a mobile device, may detect a device movement event or a device usage event associated with the device. Based on the detection of the device movement event or the device usage event, a time associated with the event may be stored. The device may determine whether another event associated with the device occurs within a threshold amount of time from the time associated with the event. Based on a determination of whether the other event occurs within the threshold amount of time, the device may determine an event session associated with the device. The event session may comprise an instantaneous event or a continuous event. Data indicative of the event session may be transmitted to a server.

Abstract: One or more braking event detection computing devices and methods are disclosed herein based on fused sensor data collected during a window of time from various sensors of a mobile device found within an interior of a vehicle. The various sensors of the mobile device may include a GPS receiver, an accelerometer, a gyroscope, a microphone, a camera, and a magnetometer. Data from vehicle sensors and other external systems may also be used. The braking event detection computing devices may adjust the polling frequency of the GPS receiver of the mobile device to capture non-consecutive data points based on the speed of the vehicle, the battery status of the mobile device, traffic-related information, and weather-related information. The braking event detection computing devices may use classification machine learning algorithms on the fused sensor data to determine whether or not to classify a window of time as a braking event.

Abstract: The invention provides a method and system for providing an active alert. A database with a plurality of mobile phone numbers and/or IP addresses associated with a property address is provided. A server associated with the database is provided. The database stores a geofence associated with the property address, and the database stores urls and location information with a plurality of cameras associated with the property address. Each mobile phone number is associated with a mobile phone, the mobile phone being a smartphone with GPS, wifi and Bluetooth capability.

Abstract: The invention relates to an electronic device for estimating energy consumption of a person. The electronic device uses a mathematical model based on acceleration data for estimating the person's energy consumption as a function of the actual performed activity and acceleration values. The acceleration values are converted to an estimate of energy consumption of a given activity by scaling a value of time integrated acceleration data with an activity scaling parameter. The activity scaling parameters for different activities have been determined off-line by comparing measured energy consumptions over e.g. a day with estimated energy consumptions over the same period, where the estimated values are determined using the mathematical model.

Abstract: In an embodiment, a device may include a first sensor configured to generate first sensor data during a first time period and a second time period; a second sensor configured to be disabled during the first time period, the second sensor further being configured to generate second sensor data during the second time period; and a processor configured to determine a characteristic of the first sensor data during the first time period. The device may further include a classifying circuit configured to determine, during the first time period, whether the device has changed state based on the characteristic of the first sensor data, the classifying circuit further being configured to cause the second sensor to be enabled in response to a change in a state of the device.

Abstract: The present invention relates to a method for estimating a relative angle (?) between heading (X10) of a person (10) and heading (X12) of a mobile device (12) carried by the person. A first estimate of the relative angle is determined using a multi-axis accelerometer (18) of the mobile device. A second estimate of the relative angle is determined using a multi-axis gyroscope (20) of the mobile device. The first estimate and the second estimate are then combined to provide a combined estimate of the relative angle (?) between the person's heading and the mobile device's heading. The present invention also relates to a system for estimating a relative angle (?) between heading (X10) of a person (10) and heading (X12) of a mobile device (12) carried by the person.

Abstract: An antenna system using a motion sensor includes an antenna having a plurality of axes within a smart device, whereby motion sensor sensing axis information is generated by movement or rotation of the plurality of axes of the antenna, and a controller for controlling the information sensed by the motion sensor and a strength of a signal of the antenna having the plurality of axes received in real time.

Abstract: A computer-implemented method is provided including receiving sensor data from a mobile device corresponding to a first user. A user state of the first user is predicted based on the sensor data. A request is transmitted to the first user to confirm the predicted user state, and a notification is transmitted regarding the predicted user state to a second user responsive to the first user's confirmation of the predicted user state or the first user's failure to respond to the request. A computing system for monitoring and reporting activity of a mobile device is also provided.

Abstract: The described technology regards an augmented reality system and method for estimating a position of a location of interest relative to the position and orientation of a display based upon a retroactive adjustment of a previously rendered position and orientation of the display, by means of an adjust-update-predict (AUP) cycle, and calculating the location of interest relative to the position and orientation of the display. Systems of the described technology include including a plurality of sensors, a processing module or other computation means, and a database. Methods of the described technology use data from the sensor package useful to accurately render graphical user interface information on a display.

Abstract: A method for encapsulating metadata in a contextual data stream is described. The method may include receiving sensor data from a sensor. The method may include receiving metadata associated with the sensor data, wherein the metadata is defined as a probability vector based on a context set associated with the sensor data. The method may also include combining the sensor data and the metadata into a contextual data stream.

Abstract: The present invention relates to a method and apparatus for processing a wearing state of a wearable device. Embodiments of the present invention achieve the purpose of obtaining an actual wearing state of the wearable device by obtaining a space quaternion parameter of the wearable device worn by the user, then obtaining a posture angle of the wearable device according to the space quaternion parameter, and then obtaining a measurement wearing state of the wearable device according to the posture angle of the wearable device.

Abstract: In an information processing apparatus, a posture data acquiring section acquires output values from a motion sensor of a head-mounted display. Effective rates of acceleration are then obtained by correcting the output values based on correction formulas. A posture is calculated in reference to the axes of the motion sensor based on the acquired rates of acceleration. Thereafter, the posture of the head-mounted display is calculated by performing rotation correction based on previously acquired angle errors, the calculated posture being output to an information processing section. A correction data updating section acquires posture information based on markers of the head-mounted display imaged in a captured image, and updates correction data for use in acquiring the posture from the sensor output values through comparison with the marker-based posture information.

Abstract: Disclosed are systems, methods, and apparatus for communicating hardware generated video between two or more devices. The devices can operate to mimic chance interactions, or “stop-and-chats,” that normally occur when two or more persons are living together or otherwise in the same locations. For example, each computer or circuit can determine whether a person is proximate to the computer. If two persons that designate each other as connections are simultaneously proximate to their respective devices, a video hardware connection will be created between their computers. Furthermore, respective circuitry can be connected to a third device associated with a person who is proximate to their respective device and also indicated as a connection by both of the two persons who are already connected. A video hardware connection can disconnect when one person participating in the video is no longer proximate to their respective device.

Abstract: In at least one aspect, a water-sports board is configured to collect environmental data. The water-sports board includes a waterproof sensor housing and, disposed within the housing, one or more sensor(s), processor(s), memory device(s), switch(es), batteries. The sensing device is configured, in a first state, not to store environmental data sensed by the at least one sensor in the at least one physical memory device. The sensing device is configured, in a second state, to store environmental data sensed by the at least one sensor in the at least one physical memory device.

Abstract: A system and method for contactless blood pressure determination. The method includes: receiving a captured image sequence; determining, using a trained hemoglobin concentration (HC) changes machine learning model, bit values from a set of bitplanes in the captured image sequence that represent the HC changes of the subject; determining a blood flow data signal; extracting one or more domain knowledge signals associated with the determination of blood pressure; building a trained blood pressure machine learning model with a blood pressure training set, the blood pressure training set including the blood flow data signal of the one or more predetermined ROIs and the one or more domain knowledge signals; determining, using the blood pressure machine learning model trained with a blood pressure training set, an estimation of blood pressure; and outputting the determination of blood pressure.