Abstract: This disclosure relates to systems, media, and methods for mitigating measurement drift and improving IMU odometry measurement. In an embodiment, the system may perform operations including receiving first sensor data from at least one motion sensor; receiving 3-dimensional (3-D) motion data based on motion detected by at least one camera; inputting model input data into a machine learning model configured to generate at least one vector, the model input data being based on the received first sensor data and the received 3-D motion data; and apply the at least one vector as an offset.

Abstract: This disclosure relates to systems, media, and methods for updating motion models using sensor data. In an embodiment, the system may perform operations including receiving sensor data from at least one motion sensor; generating training data based on at least one annotation associated with the sensor data and at least one data manipulation; receiving at least one experiment parameter; performing a first experiment using the training data and the at least one experiment parameter to generate experiment results; and performing at least one of: update or validate a first motion model based on the experiment results.

Abstract: This disclosure relates to systems, media, and methods for mitigating measurement drift and improving IMU odometry measurement. In an embodiment, the system may perform operations including receiving first sensor data from at least one motion sensor; receiving 3-dimensional (3-D) motion data based on motion detected by at least one camera; inputting model input data into a machine learning model configured to generate at least one vector, the model input data being based on the received first sensor data and the received 3-D motion data; and apply the at least one vector as an offset.

Abstract: This disclosure relates to systems, media, and methods for updating motion models using sensor data. In an embodiment, the system may perform operations including receiving sensor data from at least one motion sensor; generating training data based on at least one annotation associated with the sensor data and at least one data manipulation; receiving at least one experiment parameter; performing a first experiment using the training data and the at least one experiment parameter to generate experiment results; and performing at least one of: update or validate a first motion model based on the experiment results.

Abstract: This disclosure relates to systems, media, and methods for providing near-instantaneous feedback from real-time motion sensor data. In an embodiment, the system may perform operations including loading at least one target motion trigger. Disclosed embodiments may receive real-time sensor data from the first motion sensor detachably fixed to a user. Additionally, disclosed embodiments may include calculating a motion profile based on the real-time sensor data, the motion profile describing a multi-dimensional representation of acceleration of a motion performed by the user. Disclosed embodiments may also include comparing the at least one target motion trigger to the calculated motion profile to determine if the motion performed by the user corresponds to the target motion. Further, disclose embodiments may include transmitting, based on the comparison, an instruction to provide an alert to a user.

Abstract: This disclosure relates to systems, media, and methods for providing near-instantaneous feedback from real-time motion sensor data. In an embodiment, the system may perform operations including loading at least one target motion trigger. Disclosed embodiments may receive real-time sensor data from the first motion sensor detachably fixed to a user. Additionally, disclosed embodiments may include calculating a motion profile based on the real-time sensor data, the motion profile describing a multi-dimensional representation of acceleration of a motion performed by the user. Disclosed embodiments may also include comparing the at least one target motion trigger to the calculated motion profile to determine if the motion performed by the user corresponds to the target motion. Further, disclose embodiments may include transmitting, based on the comparison, an instruction to provide an alert to a user.