Abstract: Embodiments of the present disclosure are directed to various systems, methods and apparatuses of a motion sensing stack, comprising a plurality of magnetometers. Preferably at least four magnetometers are included and at least one magnetometer is out of the plane of at least three other magnetometers. Preferably, the stack includes an 18D IMU (inertial measurement unit). Preferably, the 18D IMU features a 3D accelerometer, a 3D gyroscope and at least four 3D magnetometers. Alternatively, optionally a 9D IMU is provided, comprising a 3D accelerometer, a 3D gyroscope and one 3D magnetometer. The IMU may optionally be MEMS (microelectromechanical system) based.

Abstract: Embodiments of the present disclosure are directed to various systems, methods and apparatuses for performing simultaneous localization and mapping (SLAM) for a wearable device, including without limitation, a head-mounted wearable device that optionally includes a display screen. Such embodiments enable accurate and quick localization of a wearable device within a dynamically constructed map, optionally through computations performed with a computational device (including those having limited resources). A non-limiting example of such a computational device is a smart cellular phone or other mobile computational device.

Abstract: The present invention relates to systems and methods for self-learning of locomotion characteristic and speed during bipedal locomotion using sensor and GPS technology.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: The invention concerns a device for measuring instantaneous sprint velocity, said device consisting of at least one position and/or one velocity sensor and one IMU sensor that respectively provide position and/or velocity and acceleration signals and wherein said signals are fused. The invention also concerns a method for measuring instantaneous sprint velocity comprising the use of at least one position and/or one velocity sensor and one IMU sensor that respectively provide position and/or velocity and acceleration signals and wherein said signals are fused.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: Embodiments of the present disclosure are directed to various systems, methods and apparatuses for performing simultaneous localization and mapping (SLAM) for a wearable device, including without limitation, a head-mounted wearable device that optionally includes a display screen. Such embodiments enable accurate and quick localization of a wearable device within a dynamically constructed map, optionally through computations performed with a computational device (including those having limited resources). A non-limiting example of such a computational device is a smart cellular phone or other mobile computational device.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: Embodiments of the present disclosure are directed to various systems, methods and apparatuses for performing simultaneous localization and mapping (SLAM) for a wearable device, including without limitation, a head-mounted wearable device that optionally includes a display screen. Such embodiments enable accurate and quick localization of a wearable device within a dynamically constructed map, optionally through computations performed with a computational device (including those having limited resources). A non-limiting example of such a computational device is a smart cellular phone or other mobile computational device.

Abstract: The present invention relates to systems and methods for self-learning of locomotion characteristic and speed during bipedal locomotion using sensor and GPS technology.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.