Inertial measurement method and apparatus for a mobile entity perform a filtering process for an angular velocity signal, an alignment process where an approximate initial attitude angle is calculated from acceleration and angular velocity signals and then precisely adjusted, an angular velocity/acceleration bias calculation process where angular velocity bias is calculated by subtracting Earth's angular velocity from the angular velocity signal and an acceleration bias is calculated by subtracting gravitational acceleration from the acceleration signal, an attitude angle calculation process where an angular velocity is calculated by subtracting Earth's angular velocity and the angular velocity bias from the angular velocity signal, and an attitude angle is calculated by integrating the angular velocity, a location movement amount calculation process where acceleration is calculated by subtracting the gravitational acceleration and the acceleration bias from the acceleration signal, and calculate a location movement amount by second-order integration for the acceleration.

Inertial measurement method and apparatus for a mobile entity perform a filtering process for an angular velocity signal, an alignment process where an approximate initial attitude angle is calculated from acceleration and angular velocity signals and then precisely adjusted, an angular velocity/acceleration bias calculation process where angular velocity bias is calculated by subtracting Earth's angular velocity from the angular velocity signal and an acceleration bias is calculated by subtracting gravitational acceleration from the acceleration signal, an attitude angle calculation process where an angular velocity is calculated by subtracting Earth's angular velocity and the angular velocity bias from the angular velocity signal, and an attitude angle is calculated by integrating the angular velocity, a location movement amount calculation process where acceleration is calculated by subtracting the gravitational acceleration and the acceleration bias from the acceleration signal, and calculate a location movement amount by second-order integration for the acceleration.

Some embodiments of the invention provide methods and apparatus for controlling an aspect of the presentation of objects in a mobile or wearable device, where the user is performing a gait activity such as walking, jogging or running, and the controlling is performed leveraging the gait characteristics of the user. In some embodiments, the gait characteristics include velocity and stride length. In some embodiments, the only sensors utilized to obtain any contextual information are accelerometers.

Some embodiments of the invention provide methods and apparatus for controlling an aspect of the presentation of objects in a mobile or wearable device, where the user is performing a gait activity such as walking, jogging or running, and the controlling is performed leveraging the gait characteristics of the user. In some embodiments, the gait characteristics include velocity and stride length. In some embodiments, the only sensors utilized to obtain any contextual information are accelerometers.

A method to estimate the longitudinal vehicle speed is disclosed. The method can be digitally implemented to process speeds of all wheels and longitudinal acceleration of the vehicle to estimate the vehicle speed.

A method to estimate the longitudinal vehicle speed is disclosed. The method can be digitally implemented to process speeds of all wheels and longitudinal acceleration of the vehicle to estimate the vehicle speed.

Systems and methods are disclosed herein for estimating at least one force acting upon a vehicle-mounted tire. An acceleration waveform (150) of the tire is detected in a tire radial direction from sampled outputs of a tire-mounted acceleration sensor (118). The acceleration waveform is integrated in the tire radial direction to generate a velocity waveform (step 220). A number of samples during ground contact are calculated from at least first and second peaks in the velocity waveform, wherein a ground contact length is calculated based on at least the calculated number of samples during ground contact, a sampling rate of the outputs of the tire-mounted acceleration sensor, and a velocity of the vehicle. At least one force acting on the tire is estimated from at least the calculated ground contact length (166), and an output signal is generated corresponding to the estimated at least one force acting on the tire.

Systems and methods are disclosed herein for estimating at least one force acting upon a vehicle-mounted tire. An acceleration waveform (150) of the tire is detected in a tire radial direction from sampled outputs of a tire-mounted acceleration sensor (118). The acceleration waveform is integrated in the tire radial direction to generate a velocity waveform (step 220). A number of samples during ground contact are calculated from at least first and second peaks in the velocity waveform, wherein a ground contact length is calculated based on at least the calculated number of samples during ground contact, a sampling rate of the outputs of the tire-mounted acceleration sensor, and a velocity of the vehicle. At least one force acting on the tire is estimated from at least the calculated ground contact length (166), and an output signal is generated corresponding to the estimated at least one force acting on the tire.

Conformal sensor systems and devices are used for sensing and analysis of data indicative of body motion, e.g., for such applications as training and/or clinical purposes. Flexible electronics technology can be implemented as conformal sensors for sensing or measuring motion (including body motion and/or muscle activity), heart rate, electrical activity, and/or body temperature for such applications as medical diagnosis, medical treatment, physical activity, physical therapy and/or clinical purposes. The conformal sensors can be used for detecting and quantifying impact, and can be used for central nervous system disease monitoring.

Conformal sensor systems and devices are used for sensing and analysis of data indicative of body motion, e.g., for such applications as training and/or clinical purposes. Flexible electronics technology can be implemented as conformal sensors for sensing or measuring motion (including body motion and/or muscle activity), heart rate, electrical activity, and/or body temperature for such applications as medical diagnosis, medical treatment, physical activity, physical therapy and/or clinical purposes. The conformal sensors can be used for detecting and quantifying impact, and can be used for central nervous system disease monitoring.