Abstract: Disclosed herein are techniques and systems for evaluating exercise performance of a user of a fitness system by utilizing one or more intelligent sensors, including at least one camera-based sensor configured to detect image data of the user. The fitness system may include a stationary exercise device, a memory to store personal information about a user, and a processor to generate a set of exercise rules based, at least in part, on the personal information about the user. The fitness system may also include one or more sensors to monitor a physical state of the user, and a fuzzy system to generate an evaluation for the user based, at least in part, on i) the set of rules and ii) output from the one or more sensors. The fitness system may thereby provide real-time, constructive feedback regarding the user's exercise performance based on the sensed data.

Abstract: Disclosed herein are techniques and systems for recognizing a user via a networked fitness system and initiating a customized exercise routine for the recognized user. The process includes receiving, at the networked fitness system, identification data associated with the user, and transmitting the identification data over a network to one or more remotely located servers. The networked fitness system may receive a user identification (ID) from the remotely located server(s) at least partly in response to the transmitted identification data, and receive a confirmation from the user that the user ID corresponds to the user. At least partly in response to the confirmation, the networked fitness system may automatically download a customized exercise routine associated with the user from the remotely located server(s) and initiate the customized exercise routine by the networked fitness system.

Abstract: Disclosed herein are techniques and systems for evaluating exercise performance of a user by utilizing one or more intelligent sensors, including at least one camera-based sensor configured to detect image data of the user. The at least one camera-based sensor may be mounted on any suitable structure, including a stationary exercise device. A system including the camera-based sensor may further comprise a performance assessment module stored in memory and executable by one or more processors to determine an exercise performance condition of the user based at least in part on the detected image data. An output module may output an evaluation of the exercise performance condition or an instruction to take corrective action. The fitness machine may thereby provide real-time, constructive feedback regarding the user's exercise performance based on the sensed data and utilizing fuzzy logic and other forms of intelligent software.

Abstract: Disclosed herein are techniques and systems for recognizing a user via a networked fitness system and initiating a customized exercise routine for the recognized user. The process includes receiving, at the networked fitness system, identification data associated with the user, and transmitting the identification data over a network to one or more remotely located servers. The networked fitness system may receive a user identification (ID) from the remotely located server(s) at least partly in response to the transmitted identification data, and receive a confirmation from the user that the user ID corresponds to the user. At least partly in response to the confirmation, the networked fitness system may automatically download a customized exercise routine associated with the user from the remotely located server(s) and initiate the customized exercise routine by the networked fitness system.

Abstract: Disclosed herein are techniques and systems for evaluating exercise performance of a user by utilizing one or more intelligent sensors, including at least one camera-based sensor configured to detect image data of the user. The at least one camera-based sensor may be mounted on any suitable structure, including a stationary exercise device. A system including the camera-based sensor may further comprise a performance assessment module stored in memory and executable by one or more processors to determine an exercise performance condition of the user based at least in part on the detected image data. An output module may output an evaluation of the exercise performance condition or an instruction to take corrective action. The fitness machine may thereby provide real-time, constructive feedback regarding the user's exercise performance based on the sensed data and utilizing fuzzy logic and other forms of intelligent software.

Abstract: Disclosed herein are techniques and systems for evaluating exercise performance of a user of a fitness system by utilizing one or more intelligent sensors, including at least one camera-based sensor configured to detect image data of the user. The fitness system may include a stationary exercise device, a memory to store personal information about a user, and a processor to generate a set of exercise rules based, at least in part, on the personal information about the user. The fitness system may also include one or more sensors to monitor a physical state of the user, and a fuzzy system to generate an evaluation for the user based, at least in part, on i) the set of rules and ii) output from the one or more sensors. The fitness system may thereby provide real-time, constructive feedback regarding the user's exercise performance based on the sensed data.