Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise program comprising a first user energy score, wherein the method comprises generating, by the artificial intelligence engine, the exercise program including an exercise plan including a plurality of exercises. Each respective exercise is associated with user energy consumption metrics based at least on a metabolic equivalent of task (MET) value, and based on the user energy consumption metrics, the first user energy score is associated with the exercise program. The method includes receiving data pertaining to a plurality of users. The data includes physical activity goals the plurality of users desires to achieve. The method includes determining second user energy scores for the physical activity goals, and based on the first and second user energy scores, assigning, by the artificial intelligence engine, at least a subset of the plurality of users to the exercise program.

An electronic device for providing exercise information and a method therefor are provided. The electronic device includes a first sensor module, a second sensor module, at least one output device, and at least one processor. The at least one processor is configured to detect an event relating to start of an exercise state, obtain motion information corresponding to the exercise state using the first sensor module, obtain metabolite information of a user using the second sensor module, and provide information regarding the exercise state to the user through the at least one output device, based on whether the metabolite information satisfies a specified condition.

A treadmill includes a frame. A running belt is coupled to the frame so that the running belt is adapted for rotation relative to the frame. At least one sensor is adapted for collecting parameter information regarding the experience of a user of the treadmill. The parameter information is selected from the group consisting of the user's heart rate, total expended calories, stride length, stride force, cadence, pace, distance, resistance level, incline level, carver count, carver cadence, step count, ground contact time, relative position within a race, and relative position on the treadmill. The treadmill also includes at least one light source that is adapted to selectively communicate information to an instructor relating to the parameter.

Computing device enhanced training environment system comprising a computing device, I/O subsystem for permitting a user to enter at least one attribute of the training or of the trainee, a plurality of sensors for generating sensory information, a training environment in which a training activity takes place, a database containing training related information. The computing device enhanced training environment system configured for at least one of the following: design a training program for a plurality of users, monitor training program performance, monitor training performance, instruct a user about the training, determine and/or set difficulty level in training apparatus.

A manually powered treadmill includes a frame; a first rotatable element coupled to the frame; a second rotatable element coupled to the frame; a plurality of bearings coupled to the frame; a running belt at least partly supported by the plurality of bearings, where at least a portion of the running belt defines a curved running surface; and a safety device coupled to at least one of the first rotatable element and the second rotatable element. The safety device is structured to substantially prevent rotation of the at least one of the first rotatable element and the second rotatable element in a first rotational direction and permit rotation of the at least one of the first rotatable element and the second rotatable element in a second rotational direction opposite the first rotational direction.

An exercise machine monitoring and instruction system for the movement of an element of an exercise machine by an exerciser and providing automated feedback to the exerciser to help improve the exercise in real-time. The exercise machine monitoring and instruction system generally includes an exercise machine having a movable element that moves between a first position and a second position in a reciprocating manner, a sensor that detects a real-time position of the movable element, a processor in communication with the sensor to receive the real-time position data from the sensor related to a position of the movable element and a feedback device in communication with the processor that provides real-time instructions to the exerciser on how to adjust their workout to achieve a desired result.

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.

A system, method, and wireless earpieces for implementing a virtual assistant. A request is received from a user to be implemented by wireless earpieces. A virtual assistant is executed on the wireless earpieces. An action is implemented to fulfill the request utilizing the virtual assistant. The wireless earpieces may be a set of wireless earpieces and the virtual assistant may be implemented independently by the wireless earpieces.

One embodiment provides a method, including: identifying, using an information handling device, an activity engaged in by a user; determining, using a processor, whether a biometric of the user during the activity is affected by a biometric-affecting aspect; and adjusting, responsive to determining that the biometric is affected by the biometric-affecting aspect, an estimated measurement for the biometric. Other aspects are described and claimed.