The present disclosure provides a jump detection system for inertial measurement unit (IMU) integrated with a barometric altimeter in the same device (IMU-baro). The processor is configured to record time-series data of both a vertical component of the measured IMU-baro acceleration and the estimated vertical velocity of the IMU-baro, detect a potential jump by comparing the vertical component of the measured IMU-baro acceleration to one or more acceleration thresholds, and, validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a vicinity of the potential jump in the time-series data of the estimated vertical velocity of the IMU-baro to a velocity threshold.

To allow combining devices having different functions according to an application, and improve convenience for a user. There are provided a wearing type terminal 1 provided with an external case 10 having a display unit 131 on the upper surface side and belt members 4a and 4b which can be connected to the both sides of the external case 10 respectively; and a docking type device 2 which is detachably engaged with the bottom portion of the external case 10 of the wearing type terminal 1, and is electrically connected to the wearing type terminal 1 via a dock side connection terminal 21. The wearing type terminal 1 and the docking type device 2 are provided with a function which carries out transmission and receiving of data to be displayed on the display unit 131 via the dock side connection terminal 21.

Methods and systems for monitoring workplace safety and evaluating risks is provided, the method comprising receiving signals from at least one wearable device, identifying portions of the signals corresponding to physical activities, excerpting the portions of the signals corresponding to the physical activities, and calculating risk metrics based on measurements extracted from the excerpted portions of the signals, the risk metric indicative of high risk lifting activities.

An exercise support device of the present invention includes a detecting section which detects motion data related to a motion status of a user performing an exercise and an swing-angle obtaining section which obtains an swing angle of the user and an information notifying section which notifies the user of exercise support information for guiding the swing angle to a suitable angle. When the user is in a specific motion state with an swing motion of a part which is an arm or a leg of the user, the swing-angle obtaining section successively tracks a swing status in one cycle of the swing motion in the specific motion state based on the motion data detected by the detecting section, and obtains a maximum value of differences between angles of the part of the user at two different timings in the one cycle as the swing angle.

A gait analysis system includes a foot sensing unit, a knee sensing unit and a portable device. The foot sensing unit senses pressure information. The knee sensing unit senses first and second three-dimensional rotational attributes of knee. The portable device generates direction of ground reaction force according to the pressure information, the first and the second three-dimensional rotational attributes of knee and a model of direction of ground reaction force, generates knee moment according to the pressure information, the first and the second three-dimensional rotational attribute of knee, the direction of ground reaction force, length of tibia and model of knee moment, determines gait information according to a gait model and one of the pressure information, the first and the second three-dimensional rotational attributes of knee, and generates gait analysis result according to the gait information, the knee moment and the gait model.

A mouth guard, or wearable device, senses impact forces, calculates risk factors for injury, and displays status of risk and potential injury. A mouth guard may be used to identify, treat and prevent exacerbating brain injury. A wearable device can be programmed with biometric data to better calculate and anticipate impact thresholds and more precisely predict and prevent injury.

An apparatus and method for recognizing a gait motion by detecting a landing point in time of a foot of a user based on sensed acceleration information, inferring a gait motion based on right and left hip joint angle information of the user sensed at the detected landing point in time of the foot of the user, and detecting a landing leg between both legs of the user based on the inferred gait motion may be provided.

A method and system is provided for finding and analyzing gait parameters and postural balance of a person using a Kinect system. The system is easy to use and can be installed at home as well as in clinic. The system includes a Kinect sensor, a software development kit (SDK) and a processor. The temporal skeleton information obtained from the Kinect sensor to evaluate gait parameters including stride length, stride time, stance time and swing time. Eigenvector based curvature detection is used to analyze the gait pattern with different speeds. In another embodiment, Eigenvector based curvature detection is employed to detect static single limb stance (SLS) duration along with gait variables for evaluating body balance.

The present invention describes methods and systems to enable a concerned party to continuously monitor the progression of a medical condition in one or more patients. The progression of the medical condition is determined by processing sensor data obtained from one or more physiological and/or motion sensors and survey data obtained from the patients. Further, environmental data such as air quality, temperature and humidity may also be used along with the sensor data and the survey data to monitor/track the progression of the medical condition.

Method for coupling a sensor to a piece of equipment, such as a golf club, baseball bat, or tennis racket, that ensures that the sensor is in a known position and orientation relative to the equipment. Compensates and calibrates for degrees of freedom introduced in manufacturing and installation. The method may include manufacturing a sensor receiver that aligns with equipment in a fixed orientation, and that holds a sensor housing in a fixed orientation relative to the receiver. Remaining uncertainties in sensor position and orientation may be addressed using post-installation calibration. Calibration may include performing specific calibration movements with the equipment and analyzing the sensor data collected during these calibration movements.