Abstract: There is provided an information processing apparatus including an absolute position acquiring section that acquires an absolute position of a user, an acquiring section that acquires a first value indicating a walking tempo of the user who is walking, a calculation section that calculates a second value indicating a step or a traveling speed of the user by using, as a trigger, movement of a predetermined distance based on the absolute position, and a learning section that learns a correspondence between the first value and the second value by using the second value calculated.

Abstract: A computer-implemented method is described. The computer-implemented method is used for populating data of a graphical user interface (GUI). The computer-implemented method includes generating one or more graphical elements of one or more activities captured by a monitoring device. The monitoring device is usable by a user during the capturing. The method further includes generating a timeline including a time period over which the activities are performed. The timeline includes a chronological order of time within the time period. The method further includes generating an activity symbol for one or more of the activities performed during the time period. The activity symbol has an image that is graphically overlaid on the graphical elements of the activities.

Abstract: Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

Abstract: A multi-posture stride length calibration system for indoor positioning includes: at least an inertial measurement unit, configured to sense at least a signal; a signal preprocessing unit, connected to the inertial measurement unit to process sensed signal; a multi-posture determination unit, configured to determine at least a posture based on processed signal; a step-computing decision unit, configured to compute a number of steps and a step frequency based on processed signal; a map feature calibration unit, configured to receive the number of steps, step frequency and posture to determined a stride length and decide whether the stride length matching a criterion; a step-computing threshold adjustment unit, configured to adjust a step-computing threshold if stride length not matching the criterion; and a stride length regression unit, configured to update a stride length regression curve for posture based on step frequency and stride length if stride length matching the criterion.

Abstract: Methods, systems and devices are provided for displaying monitored activity data in substantial real-time on a screen of a computing device. One example method includes capturing motion data associated with activity of a user via an activity tracking device. The motion data is quantified into a plurality of metrics associated with the activity of the user. The method includes connecting the activity tracking device with a computing device over a wireless data connection, and sending motion data from the activity tracking device to the computing device for display of one or more of the plurality of metrics on a graphical user interface of the computing device. At least one of the plurality of metrics displayed on the graphical user interface is shown to change in substantial real-time based on the motion data.

Abstract: Methods, devices, and computer programs are presented for managing power consumption of a display. One method includes an operation for setting a first display setting for a touchscreen of an activity monitoring device associated with a user. The first display setting has having a first rate of power consumption by the display and a first touchscreen scan rate for detecting touch on the touchscreen. Further, the method includes operations for receiving data at the activity monitoring device, the data being indicative of an external event, and for applying a second display setting for the touchscreen based on a predefined expected user interaction. The second display setting has a second rate of power consumption and a second touchscreen scan rate.

Abstract: One disclosed method involves providing a first device comprising a sensor configured to sense a stimulus experienced by the first device, a controller configured to process data received from the sensor and thereby obtain processed sensor data, a transmitter configured to wirelessly transmit the processed data, and a battery configured to supply power to at least the controller and the transmitter. The first device is operated in a first operational mode in which the sensor, the controller, and the transmitter are used at least occasionally to obtain and transmit processed data. When the battery is in a low power condition, the first device is operated in a second operational mode wherein the sensor, controller, and transmitter are not used to obtain and transmit processed sensor data, but wherein the first device at least occasionally transmits a signal that indicates a low power condition of the battery.

Abstract: A mobile terminal which makes it possible to automatically calculate a step length of a user with accuracy. A step count-acquiring section acquires a step count of the user of a mobile terminal. A position calculating section calculates a position of the mobile terminal. A center position-calculating section calculates a center position of a plurality of positions calculated by the position calculating section. A covered distance-calculating section calculates a distance covered by the mobile terminal based on a plurality of the center positions calculated by the center position-calculating section. A step length-calculating section calculates the step length based on the step count acquired by the step count-acquiring section and the covered distance calculated by the covered distance-calculating section.

Abstract: Methods, systems and devices are provided for automatically linking a device to an activity tracking device. One method includes obtaining, at the device, a semi-unique identifier from a website. The semi-unique identifier is for an activity tracker that has been paired to a user account of the website. The method includes scanning, by the device, for the semi-unique identifier. The scanning is of advertising messages generated by one or more activity trackers. The method identifies the activity tracker by matching the advertised semi-unique identifier to the semi-unique identifier obtained from the website. The method then includes establishing a link between the activity tracker and the device. The link is established without requiring user initiation to link the activity tracker to the device.

Abstract: Methods, systems and devices are provided for capturing activity data associated with activity of a user via a device and transferring the data to a client device at a selected defined transfer rate, based on an update condition. The activity data is captured over time. The activity data is stored in storage of the device. The method sets a data transfer rate between the device and the computing device based upon the detected update condition. The update condition is used to select one of a first transfer rate for transferring activity data captured and stored over a period of time or a second transfer rate for transferring activity data that is displayable in substantial-real time on the computing device. The first transfer rate is set in response to scaling-up a connection interval and the second transfer rate is set in response to scaling-down the connection interval.

Abstract: A biometric monitoring device with a display is provided. The biometric monitoring device may track the completion progress towards one or more biometric performance goals and provide a goal celebration indicator upon completion of a biometric performance goal and subsequent receipt of an input signal. In some implementations, the completion of a biometric performance goal may be signaled prior to receipt of the input signal using a secondary indicator.

Abstract: A method includes receiving activity of a monitoring device that is configured to be worn by a user having a user account. The activity includes an amount of movement of the monitoring device and occurs for a period of time. The method further includes receiving geo-location data for the monitoring device and processing the activity data and geo-location data received for the period of time. The operation of processing is performed to segment the period of time into at least two events. The method includes assigning an identifier to each event. The identifier has a default description for the geo-location data. The default description is selected from a plurality of descriptions based on the activity data obtained by the movement of the monitoring device for the geo-location data.

Abstract: A mobile terminal which makes it possible to automatically calculate a step length of a user with accuracy. A step count-acquiring section acquires a step count of the user of a mobile terminal. A position calculating section calculates a position of the mobile terminal. A center position-calculating section calculates a center position of a plurality of positions calculated by the position calculating section. A covered distance-calculating section calculates a distance covered by the mobile terminal based on a plurality of the center positions calculated by the center position-calculating section. A step length-calculating section calculates the step length based on the step count acquired by the step count-acquiring section and the covered distance calculated by the covered distance-calculating section.

Abstract: A pedometer or other stride-detection device (304) can record the number of strides, and the frequencies of those strides, during a running or other session using a detector (306). The device (304) can report an estimated total elapsed distance (318) at the end of the session, based on the number and estimated lengths of each stride. The reported distance can be calculated using estimates for stride lengths at various frequencies based on a user profile (210), as well as a correction value table (308) and a frequency count table (202). At the end of each session, a corrected distance can be received by user input based on a treadmill display, or other means. A frequency-based correction factor can be updated based on an error ratio of the corrected and reported distances, which can be limited by a correction factor limit and distributed based on a stride frequency probability distribution.

Abstract: A method includes receiving geo-location data collected over time period. The geo-location data is associated with a monitoring device. The method further includes receiving motion tracking data of the monitoring device. The motion tracking data is collected over time period. The method includes identifying one or more activities. The activities are identified based on inference rules that identify certain activities to have occurred when at least part of the motion tracking data is correlated to the received geo-location data. The method further includes defining a metric for one or more of the identified activities. The metric is associated to a calendar date. The method includes sending the metric to a calendar application with integration instructions. The integration instructions define the calendar date to which the metric will be added.

Abstract: A method for monitoring human activity using an inertial sensor includes continuously determining an orientation of the inertial sensor, assigning a dominant axis, updating the dominant axis as the orientation of the inertial sensor changes, and counting periodic human motions by monitoring accelerations relative to the dominant axis.

Abstract: A method includes obtaining a first geo-location and a second geo-location. The first and second geo-locations are associated with a monitoring device. The monitoring device is configured to be used by a user. The first geo-location is determined at a first time and the second geo-location is determined at a second time. The first time and the second time are associated with a rate of obtaining geo-location data. The method includes calculating a difference in distance between the second and first geo-locations and changing the rate of obtaining a third geo-location associated with the monitoring device based on the difference in distance between the second and first geo-locations.

Abstract: A step-counter device detects and counts user steps. The device includes a transducer configured to generate an electrical transduction signal in response to user stepping. An energy-scavenging system is coupled to the transducer to generate a power supply voltage in response to the electrical transduction signal. A processing unit is powered by the power supply voltage. The processing unit is further configured to sense the electrical transduction signal and determine whether a user step has occurred and in response to that determination increment a step counter.

Abstract: In some implementations, optimizations for detecting steps when a pedometer is worn at a user's wrist are described. In some implementations, a threshold crossing step detection method can be enhanced for wrist locations by counting the number of positive peaks between comparison threshold crossings, adjusting a minimum peak-to-peak threshold for qualifying threshold crossings, and inferring a second step based on the amount of time between threshold crossings. In some implementations, the pedometer can automatically determine that the pedometer is being worn on a user's wrist.

Abstract: A portable activity monitoring device adapted to couple to a body of a user, the portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, (i) one or more motion sensors, disposed in the housing, to detect motion, and (ii) a user interface, disposed in the housing. The monitoring device further includes processing circuitry, disposed in the housing, to: (i) detect one or more user inputs to the user interface using data from at least one of the one or more motion sensors, (ii) calculate data which is representative of a progress toward a user activity goal using data from at least one the motion sensors, and (iii) generate display data which is representative of the progress toward the user activity goal in response to detecting the user input to the user interface.

Abstract: The present inventions, in one aspect, are directed to a portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a plurality of sensors (for example, motion sensor and altitude sensor) disposed in the housing. The monitoring device may further include processing circuitry, disposed in the housing and electrically coupled to the plurality of sensor, to calculate the activity points corresponding to the physical activity of the user using the sensor data, wherein the activity points correlate to an amount and intensity of the physical activity of the user, and output the data which is representative of the activity points. The monitoring device may also include a display, coupled to the processing circuitry, may output the data which is representative of the activity points to the user.

Abstract: Systems, methods, and apparatus for performing deduced reckoning navigation without a constraint relationship between orientation of a sensor platform and a direction of travel of an object are described herein. A sensor fusion component can be configured to receive data from sensors of a sensor platform coupled to a pedestrian; and generate world coordinate information based on the data. Further, a gait recognition component can be configured to record one or more walking patterns of the pedestrian in a training database; and determine whether the world coordinate information is associated with a walking pattern of the one or more walking patterns. Furthermore, a position estimation component can be configured to estimate a position of the pedestrian based on the world coordinate information if the world coordinate information is associated with the walking pattern, regardless of an orientation of the sensor platform with respect to the position of the pedestrian.

Abstract: Methods, systems and devices are provided for capturing activity data associated with activity of a user via a device and transferring the data to a client device at a selected defined transfer rate, based on an update condition. The activity data is captured over time. The activity data is stored in storage of the device. The method sets a data transfer rate between the device and the computing device based upon the detected update condition. The update condition is used to select one of a first transfer rate for transferring activity data captured and stored over a period of time or a second transfer rate for transferring activity data that is displayable in substantial-real time on the computing device. The first transfer rate is set in response to scaling-up a connection interval and the second transfer rate is set in response to scaling-down the connection interval.

Abstract: Embodiments of the invention provide a step detection. An accelerometer measurement in the form of a multi-dimensional acceleration vector is obtained. The magnitude of the accelerometer measurement is filtered using a low pass filter. A threshold for a down-crossing is provided as is a threshold for an up-crossing. A step detection is triggered if the magnitude of the accelerometer measurement is greater than or equal to the threshold for an up-crossing.

Abstract: Provided is an information processing apparatus including an acquisition unit configured to acquire a pitch of walking from oscillation detection data, and a congestion determination unit configured to determine a congestion degree based on a difference between the pitch acquired by the acquisition unit and a pitch during normal walking which is calculated based on the oscillation detection data of a past.

Abstract: An example sensor band configured for attachment to a calf of a mammal and used in measuring track and balance motion of the mammal includes one or more first sensors for sensing muscle circumferential pressure at multiple positions; one or more second sensors for sensing Earth's magnetic field; and one or more third sensors for sensing Earth's gravitational field.

Abstract: A method for generating recommendations for achieving goals is described. The method includes receiving a goal for a user account. The goal is associated with an activity that is trackable via a monitoring device. The method further includes receiving tracking data associated with the monitoring device. At least part of the tracking data is associated to the activity. The method includes receiving geo-location data associated with the monitoring device. The geo-location data is correlated to the tracking data. The method includes analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity and generating a recommendation for the user account. The recommendation identifies the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

Abstract: A method, system or computer usable program product for monitoring single arm walking aid use of a user including providing a sensor on at least one of a left shoe, a right shoe and a single arm walking aid, using the sensor, determining a relative position of a set of footsteps by a left foot, a set of footsteps by a right foot, and a set of placements of the single arm walking aid, and using the relative position data, determining whether the user is practicing correct single arm walking aid use.

Abstract: A method includes determining a location of a first monitoring device used while performing an activity. The first monitoring device is worn by a first user. The method includes determining a location of a second monitoring device used while performing an activity. The second monitoring device is worn by a second user. The method further includes determining whether the locations of the first and second monitoring devices are within a range and whether the activities are similar. The method includes sending a prompt to the first monitoring device upon determining that the activities are similar and the locations are within the range. The prompt includes a request for permission from a first user account to allow a second user account to access information from the first user account regarding the activity performed using the first monitoring device.

Abstract: This invention allows for remote monitoring of the skier/skiing performance. The system consists of a various MEMS sensors embedded in skier clothing and equipment. These sensors measure instantaneous changes in acceleration in x/y/z axis and changes in earth magnetic field—relative to the skier position, to provide six degree of freedom in calculation of skier position as well as moments applied to the ski edge and forces experiences by the skier body. These sensors communicate with the monitoring application residing in the user wireless terminal (call phone) over the PAN wireless network. The instantaneous measurements are analyzed either locally or remotely and when the system is configured in an active mode, a corrective response to the MEMS actuators embedded in the ski or ski bindings may be send does changing the parameters of the run or provide enhanced safety.

Abstract: Hardware state machine is embedded with sensing element to generate movement context values and context information. Mobile device includes applications processor (AP), data storage, and sensor integrated circuit (IC) package. Data storage includes operating system (OS), and an application program to display a step count. Sensor IC package includes sensing element, analog-to-digital converter (ADC), embedded hardware state machine, and communications interface. Sensing element provides a sensor signal indicating the mobile device's movement. ADC samples the sensor signal. Hardware state machine filters the sampled sensor data, matches the filtered sensor data with one of several predetermined sensor data patterns (e.g. recognized pattern), and then generates a context value, e.g. walking, and a context information, e.g., step count, based on the recognized pattern. The context value and the context information are then provided via the communication interface to the OS (running on the AP.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: Provided are an automatic analyzing method and apparatus for a microfludic system. The apparatus includes means for recognizing a disc or chip in the microfludic system, performs an operation and detection by automatically loading a DB according to a recognized type, and perform quantization of a test.

Abstract: A method for detecting a human's steps and estimating the horizontal translation direction and scaling of the resulting motion relative to an inertial sensor is described. When a pedestrian takes a sequence of steps the displacement can be decomposed into a sequence of rotations and translations over each step. A translation is the change in the location of pedestrian's center of mass and a rotation is the change along z-axis of the pedestrian's orientation. A translation can be described by a vector and a rotation by an angle.

Abstract: A method for detecting a human's steps and estimating the horizontal translation direction and scaling of the resulting motion relative to an inertial sensor is described. When a pedestrian takes a sequence of steps the displacement can be decomposed into a sequence of rotations and translations over each step. A translation is the change in the location of pedestrian's center of mass and a rotation is the change along z-axis of the pedestrian's orientation. A translation can be described by a vector and a rotation by an angle.

Abstract: The present inventions, in one aspect, are directed to an activity monitoring system including a portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a motion sensor, disposed in the housing, to generate data which is representative of the user's motion, and an altitude sensor, disposed in the housing, to generate data which is representative of the change in the user's altitude. The system further includes a display to output data which is representative of a badge, wherein the badge is representative of an achievement computed using motion and/or altitude sensor data. The monitoring device may also include a physiological sensor to generate data which is representative of a user's physiological condition. Here, the display outputs data which is representative of a badge wherein the badge is representative of a physiological achievement.

Abstract: Methods, systems and apparatus for identifying an activity of an animate or inanimate object are disclosed. One method includes identifying each elemental motion of a sequence of elemental motions of a device attached to the animate or inanimate object. The activity of the animate or inanimate object can be identified by matching the sequence of identified elemental motions of the device with a library of stored sequences of elemental motions, wherein each stored sequence of elemental motions corresponds with an activity.

Abstract: The present inventions, in one aspect, are directed to an activity monitoring system including a portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a motion sensor, disposed in the housing, to generate data which is representative of the user's motion, and an altitude sensor, disposed in the housing, to generate data which is representative of the change in the user's altitude. The system further includes a display to output data which is representative of a badge, wherein the badge is representative of an achievement computed using motion and/or altitude sensor data. The monitoring device may also include a physiological sensor to generate data which is representative of a user's physiological condition. Here, the display outputs data which is representative of a badge wherein the badge is representative of a physiological achievement.

Abstract: The gait monitor system and method provides various basic gait parameters including step count, cadence, and step duration, in addition to its ability to distinguish between normal, limping and shuffling gait modes, as well as determine falls. Moreover, this gait monitor may be provided with additional sensors, e.g. beam break at the beginning and end of a corridor to estimate average walking velocity (with the distance between the beams known or determined); this enables the calculation of additional gait characteristics such as average step length and average stride length. These parameters can additionally be used to detect various gait anomalies and other diagnostic information.

Abstract: A portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a motion sensor to detect user motion and, in response thereto, to generate data which is representative of motion of the user, an altitude sensor to detect a change in user altitude and, in response thereto, to generate data which is representative of the change in altitude of the user, processing circuitry to calculate activity metrics of the user, wherein the processing circuitry: (i) calculates a motion metric using the motion data, (ii) calculates an altitude metric using the altitude data, and (iii) calculates at least one sleep metric of the user. In certain embodiments, the processing circuitry may automatically determine a sleep mode of the user using the motion data and calculate at least one user sleep metric.

Abstract: A portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a plurality of sensors, disposed in the housing, to generate sensor data which is representative of activity of the user, processing circuitry, disposed in the housing and electrically coupled to the plurality of sensors, to calculate the one or more activity metrics of the user using the sensor data, wherein the processing circuitry calculates a number of stairs or flights of stairs traversed by the user using the sensor data.

Abstract: A wearable device has a carrier having an aperture. A device has a USB connection and a protrusion wherein the protrusion is received in the aperture to connect the device to a wristband. The device is a USB type device having athletic functionality. The device may further be configured to receive calibration data such that a measured distance may be converted to a known distance based on athletic activity performed by a user.

Abstract: Systems and methods are provided for an advanced pedometer, which may include: a first accelerometer for providing first acceleration information for a first direction; a second accelerometer for providing second acceleration information for a second direction; a third accelerometer for providing third acceleration for a third direction; a clock for providing time information associated with the first acceleration information, the second acceleration information, and the third acceleration information; and a processing module comprising one or more processors.

Abstract: A system is provided that is configured to be transported, carried or worn by a user, such as a portable personal training device or sports watch. The system comprises a global navigation satellite system (GNSS) receiver arranged to obtain the location and/or speed of the user and a pedometer for counting steps made by the user. Data from the GNSS receiver is used to calibrate the pedometer each time the user is determined to travel a distance greater than a predefined distance value during a period of time in which signals obtained by the GNSS receiver meet the one or more accuracy and/or reliability criteria.

Abstract: A pedometer with a three-axis accelerometer provides reliable step counts while worn on the wrist. Three-axis accelerometer data is combined into a single combined data stream. Each positive slope region around an inflection point in the combined data stream that has positive slope, a magnitude that exceeds an amplitude threshold value and that spans a time period that exceeds a time threshold value is identified. Each negative slope region around an inflection point in the combined data stream that has negative slope, a magnitude that exceeds an amplitude threshold value and that spans a time period that exceeds a time threshold value is identified. A step count is incremented for each occurrence of an identified positive slope region that is separated by an identified negative slope region as a step.

Abstract: The present invention is directed to a system for providing information to an athlete concerning the efficiency with which the athlete is using energy in moving relative to the ground or some other surface. In one embodiment, the system includes a plurality of pressure sensors that are associated with a shoe and generate pressure related data. The system further includes a processing system that processes the pressure data produced by the sensors to determine energy efficiency related information and make this information available to the wearer of the shoe so that the wearer can, if needed or desired, takes steps to improve their energy efficiency.

Abstract: A portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a plurality of sensors, disposed in the housing, to generate sensor data which is representative of activity of the user, processing circuitry, disposed in the housing and electrically coupled to the plurality of sensors, to calculate the one or more activity metrics of the user using the sensor data, wherein the processing circuitry calculates a number of stairs or flights of stairs traversed by the user using the sensor data.

Abstract: The present inventions, in one aspect, are directed to a portable activity monitoring device adapted to couple to a body of a user, comprising a housing having a physical size/shape that is adapted to couple to the user's body, an altitude sensor to detect a change in altitude of the user and to generate data which is representative of the change in altitude of the user, and processing circuitry to calculate: (i) a number or flights of stairs traversed by the user using the data which is representative of a change in altitude of the user, and (ii) a state of an avatar using the data which is representative of the number or flights of stairs traversed by the user. The device also includes a display to output data which is representative of the state of the avatar.

Abstract: The present inventions, in one aspect, are directed to a portable activity monitoring device having a physical size/shape that is adapted to couple to the user's body, a plurality of sensors including: (i) an altitude sensor to detect a change in altitude and to generate data which is representative of the change in altitude, and (ii) a first motion sensor to detect motion and to generate data which is representative of motion. A user interface having a display. Processing circuitry detects a user input using data from one or more of the plurality of sensors, and calculates data which is representative of a number of stairs or flights of stairs traversed by the user using the data which is representative of the change in altitude.

Abstract: A state detecting device includes: an acquiring unit that acquires an acceleration detection value from an acceleration sensor; an average acceleration calculating unit that calculates an average acceleration in each predetermined period based on the acceleration detection value; a reference information acquiring unit that acquires a reference average acceleration and a reference step length; and a step length estimating unit that estimates a step length based on a ratio of the average acceleration to the reference average acceleration as well as the reference step length.