A platform models and correlates physical activities based on users' interactions with a simple grip-metaphor design, enabling multi-dimensions actionable information to improve the health, performance and well-being of connected grip users within like-minded communities. For example, the platform captures multi-dimensional datasets generated from activities of each of a plurality of users on the online human internet of thing platform, where the activities include physical interactions with connected grips systems connected to the online human internet of thing platform. The platform then filters the captured multi-dimensional datasets into a plurality of categories and scores the filtered multi-dimensional data by the human internet of thing platform. Finally, the platform generates a multi-dimensional information modeling for each user based on the scored multi-dimensional data.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

Embodiments herein describe a wristband for securing the smart electronic wrist device to the human subject. A heart rate sensor, coupled to the wristband of one embodiment, attaches to the human subject, and to generate electronic signals responsive to the heart rate of the human subject. An analog to digital signal converting circuit (ADC), electronically coupled to the heart rate sensor, to receive electrical signals generated by the heart rate sensor. A digital signal encoding circuit, electronically coupled to the ADC, to convert the electrical signals to data signals. A wireless communication interface to transmit the digital signals wirelessly to a handheld phone call device. The handheld cellular device is wirelessly coupled to the smart electronic wrist device to receive data concerning the human subject derived from the data hear rate signals, and is also coupled to the data communication network to transmit the data heart rate signal.

Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

Fitness monitoring methods, systems, and program products are disclosed. In an embodiment, a computer-implemented method for providing a new workout for an athlete utilizing a fitness monitoring service includes the steps of granting an athlete access to an account of the fitness monitoring service, maintaining a schedule of workouts for the athlete to complete in association with the account, receiving the new workout from a coach, adding the new workout to the schedule of workouts, and exchanging information related to the new workout with a portable fitness monitoring device.

Systems and techniques for the collection and display of athletic information. Athletic data relating to a single person or group of people is collected at a central location, and subsequently displayed at a desired remote location so that the person or people can review and critique their performance. In addition, athletic data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.

An automated system provides for tracking and evaluation performance of an athlete. An athlete is tracked during performance of a movement, and position data of the performance is applied to an artificial neural network (ANN) trained via a reference data set representing recorded movements. Using the ANN, rank data for the performance is be determined, where the rank data indicates a relationship between the performance of the movement and a subset of the plurality of recorded movements. Based on the rank data, the athlete can be presented with an evaluation of the performance, instructions for subsequent movements and suggestions for improving the athlete's performance.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle α from a forward direction.

A slide board system that includes a slide board, a first bumper selectively connected to the slide board and positioned at a first end of the slide board, the first bumper comprising one or more sensors, a second bumper selectively connected to the slide board and positioned at a second end of the slide board opposite the first end, a processing system including a processor and a memory, the memory storing instructions include receiving a data from the one or more sensors, calculating a plurality of metrics from the data, and outputting the metrics to a display.