An information processing device includes at least one processor, in which the at least one processor acquires first information related to a first movement state of at least one of an arm and a leg of a user performing a movement, the first movement state on which a movement state of a torso of the user is superimposed, acquires second information related to a second movement state of the torso of the user performing the movement, and generates third information related to a third movement state of the at least one of the arm and the leg of the user based on the first information and the second information.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

An electronic device and a method for controlling the same are provided. The electronic device includes a communicator including circuitry, a first sensor configured to detect movement information of the electronic device, a memory including a first determination module configured to determine whether a user carries the electronic device and a second determination module configured to determine a detecting method for detecting a user location, and a processor configured to identify whether a user of the electronic device carries the electronic device based on the movement information of the electronic device obtained by the first sensor by using the first determination module, and determine a detecting method for detecting location information of the user according to whether the user carries the electronic device by using the second determination module.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

A gait motion display system including: a triaxial accelerometer, attached to the subject, that measures acceleration data of a subject in walking; an imaging unit that takes images of the subject in walking to obtain moving image data showing gait motions of the subject; a recording unit that records the acceleration data and the moving image data in synchronization with each other; an identification unit that converts the acceleration data recorded by the recording unit into horizontal displacement data and vertical displacement data, and identifies, from the moving image data, a representative image corresponding to a representative motion in a gait cycle, based on the horizontal displacement data or the vertical displacement data; and a display that displays an image illustration of the representative motion in the gait cycle, with the representative image identified by the identification unit.

A step counting judgment method and device and a computer-readable storage medium are disclosed. The step counting judgment method comprises: acquiring an acceleration dataset corresponding to each axis of an acceleration sensor in a current step counting cycle; determining a characteristic value corresponding to each axis according to the acceleration dataset corresponding to each axis; comparing characteristic values of different axes, and determining that an axis corresponding to a maximum value in the characteristic values is a characteristic axis; judging validity of step counting data according to the characteristic axis and a reference axis; and performing a step counting operation when the step counting data is valid data. Aims to solve the problem of low step counting accuracy of step counting judgment devices, the present disclosure provides the step counting judgment method and device and the computer-readable storage medium.

Technologies and implementations for a wearable healthcare system, which may be worn by a person. The wearable healthcare systems may include one or more motion sensors. A motion analysis modules may be included in the wearable healthcare system, which may be configured to determine physical activities and intensity of the physical activities of the person.

Embodiments of the disclosure provide a system and method for determining a trajectory of a subject. The method can include acquiring motion data of the subject to which the mobile device is attached; determining a motion status of the subject based on the motion data; and determining the trajectory based on the motion data using a trajectory model corresponding to the motion status.

An aerosol delivery device is provided that includes sensor(s) to produce measurements of properties during use of the device, and processing circuitry to record data for a plurality of uses of the device, for each use of which the data includes the measurements of the properties. The processing circuitry is configured to build a machine learning model to predict a target variable, using a machine learning algorithm, at least one feature selected from the properties, and a training set produced from the measurements of the properties. The processing circuitry is configured to then deploy the machine learning model to predict the target variable, and control at least one functional element of the device based thereon. The device may also include a digital camera to capture an image of a face of an attempted user to enable facial recognition to alter a locked state of the device.