Abstract: A system includes a data interface in communication with one or more sensor systems configured to acquire measurement data for one or more participants in an activity. A processor in communication with the sensors via the data interface analyzes the measurement data to identify events associated with the environment and participants, extracts attributes associated with the events from the measurement data, predicts a movement outcome associated with one of the events based on the attributes, and generates one or more instructions based on the predicted movement outcome the instructions generated by the processor encoding timing and magnitude information selected to enhance attention to and recognition of the event.

Abstract: A cue processor uses one or more sensors to obtain motion data for a user performing a physical task in an environment. A cueing law is based on a model determined from the motion data, for example a movement and skill model where the collected motion data are parsed into one or more movement units used to accomplish a range of outcomes. The cue processor generates a movement phase estimation to predict a movement phase and associated movement feature, and applies the cueing law to generate a cue signal. The cue signal is communicated to the user as a visual, audio or haptic stimulus, selected to target the feature for the user to achieve or improve a desired outcome.

Abstract: A cueing device or system includes one or more sensors configured to take measurement data for one or more participants in an activity. A processor in communication with the sensors analyzes the measurement data to detect events associated with the environment and participants, extracts attributes associated with the events from the measurement data, predicts a movement outcome associated with one of the events based on the attributes, and generates one or more instructions based on the predicted movement outcome. A cue administrator generates one or more anticipatory cues based on the instructions generated by the processor. The cues are administered as cue stimuli encoding timing and magnitude information selected to reduce response time for recognition of the event.

Abstract: A cue processor uses one or more sensors to obtain motion data for a user performing a physical task in an environment. A cueing law is based on a model determined from the motion data, for example a movement and skill model where the collected motion data are parsed into one or more movement units used to accomplish a range of outcomes. The cue processor generates a movement phase estimation to predict a movement phase and associated movement feature, and applies the cueing law to generate a cue signal. The cue signal is communicated to the user as a visual, audio or haptic stimulus, selected to target the feature for the user to achieve or improve a desired outcome.

Abstract: A cue processor uses one or more sensors to obtain motion data for a user performing a physical task in an environment. A cueing law is based on a model determined from the motion data, for example a movement and skill model where the collected motion data are parsed into one or more movement units used to accomplish a range of outcomes. The cue processor generates a movement phase estimation to predict a movement phase and associated movement feature, and applies the cueing law to generate a cue signal. The cue signal is communicated to the user as a visual, audio or haptic stimulus, selected to target the feature for the user to achieve or improve a desired outcome.

Abstract: A codification and cueing system for adversarial or cooperative interactions between actors engaged in sports and other activities uses measurements from motion sensors to identify events in the activity and participant's behavior to provide real-time cues to help the actors perform as well as train. The codification describes the interactions based on behavioral events and movements. The cueing method can be implemented using different subsets of such events. Following detection of these events, a signal is transmitted to generate auditory, visual and/or haptic stimuli. These stimuli encode information and hence the cues help the participants select, prepare for and execute relevant aspects of the performance.

Abstract: A system comprises an inertial sensor, a processor connected to the inertial sensor, and a memory device connected to the processor. The inertial sensor includes an accelerometer with three degrees of freedom in acceleration and has three degrees of freedom in rotation. The processor is configured alone or in combination with a linked microprocessor to generate stroke profiles describing acceleration and rotation based on signals from the accelerometer, and the memory device is configured to store the stroke profiles.

Abstract: A system for a racket comprises an inertial sensor for coupling to the racket, a processor connected to the inertial sensor, and a memory device connected to the processor. The inertial sensor includes an accelerometer array with three degrees of freedom in acceleration and a gyro array with three degrees of freedom in rotation. The processor is configured to generate stroke profiles describing acceleration and rotation of the racket based on signals from the accelerometer and the gyro arrays, and the memory device is configured to store the stroke profiles.

Abstract: The invention consists of a codification and cueing system for the optimization of adversarial or cooperative interactions between human actors engaged in sports and other activities. The system uses measurements from motion sensors to identify key events in the activity and participant's behavior to provide real-time cues to help the actors perform as well as train. The system is illustrated for a tennis application. The codification describes the players' interactions based on court events, such as the ball's trajectory relative to the court, and player behavioral events, such as the stroke phases and court movements. The cueing method can be implemented using different subsets of such events. In its simplest implementation, timing cues are obtained from the stroke backswing initiation, forward swing initiation and impact of the ball on the racket. Following the detection of these events, a signal is transmitted to the adversary where it is used to generate auditory, visual and/or haptic stimuli.

Abstract: A system for a racket comprises an inertial sensor for coupling to the racket, a processor connected to the inertial sensor, and a memory device connected to the processor. The inertial sensor includes an accelerometer array with three degrees of freedom in acceleration and a gyro array with three degrees of freedom in rotation. The processor is configured to generate stroke profiles describing acceleration and rotation of the racket based on signals from the accelerometer and the gyro arrays, and the memory device is configured to store the stroke profiles.

Abstract: A system for a racket comprises an inertial sensor for coupling to the racket, a processor connected to the inertial sensor, and a memory device connected to the processor. The inertial sensor includes an accelerometer array with three degrees of freedom in acceleration and a gyro array with three degrees of freedom in rotation. The processor is configured to generate stroke profiles describing acceleration and rotation of the racket based on signals from the accelerometer and the gyro arrays, and the memory device is configured to store the stroke profiles.