Other

Sigmasense, Llc.

Athalonz, LLC

Gary McCoy

Timothy W Markison

Sayfe Kiaei

A method includes obtaining foot force data that is created by sampling, in accordance with a sampling signal, data from a plurality of pressure sensing elements of a shoe sensor system, where the plurality of pressure sensing elements are distributed in a pattern having a first pressure sensing element at a fifth metatarsal area of a lateral wall of an insole of a shoe associated with the shoe sensor system, and a second pressure sensing element at a first metatarsal area of a medial wall of the insole. The method further includes processing the foot force data to determine a horizontal force of a foot of a user of the shoe sensor system while the user is performing a movement while wearing the shoe.

Wireless in-shoe physical activity monitoring

An apparatus includes left and right shoe sensor systems. A shoe sensor system includes pressure sensing elements, an accelerometer, and a control circuit that includes a power source circuit, a clock circuit, a processing module, memory, a wireless communication transceiver, sensor communication links, and an accelerometer communication link. The processing module samples data from the pressure sensing element to produce foot force data and samples data from the first accelerometer to produce three-dimensional foot data. The wireless communication transmits as outbound radio frequency (RF) signals regarding the foot force data and the three-dimensional foot data.

Wireless in-shoe physical activity monitoring apparatus

A method includes collecting, for a pitch, per pitch data that includes a plurality of first arm orientation data points and a plurality of second arm orientation data points. The method further includes analyzing the per pitch data to determine a release point arm orientation and an effort level. The method further includes calculating a per pitch stress level based on the release point arm orientation and the effort level. The method further includes calculating, for a set of pitches, a fatigue level based on the per pitch stress level of each pitch of the set of pitches.

Arm fatigue analysis system

A method includes obtaining foot force data that is created by sampling, in accordance with a sampling signal, data from pressure sensing elements of a shoe sensor system. The method further includes obtaining three-dimensional foot data that is created by sampling, in accordance with the sampling signal, data from an accelerometer of the shoe sensor system. The method further includes correlating the foot force data and the three-dimensional foot data in accordance with the sampling signal to produce correlated foot data. The method further includes processing the correlated foot data to determine one or more of: distance traveled during a time period, stride length data, time duration, fatigue indication, injury prevention indicators, elevation tracking for the time period, running optimization, and rotational sport optimization.

A method includes transmitting one or more local transmit radar signals and receiving a plurality of local receive radar signals that corresponds to the one or more local transmit radar signals being reflected or refracted off an object. The method further includes processing the plurality of local receive radar signals to determine a relative position of the object. The method further includes determining whether the object is positioned within a desired detection volume associated with a position of the transmitter section. When the object is positioned within the desired detection volume, further processing the local receive radar signals to determine movement pattern of the object and whether the movement pattern of the object is within a range of plausible movements for the object. When the movement pattern of the object is within a range of plausible movements for the object, tracking movement of the object within the desired detection volume.

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Gilbert, AZ, United States of America

Gary McCoy