Abstract: The invention pertains to a bicycle with variable wheelbase which converts the user's body expansion and contraction into propulsion. The invention comprises a frame [1] having a front wheel, and a structure [2] having a rear hub [4]. The structure [2] is suspended pivotally to the frame [1] about a rotational axis [3]. The wheelbase is varied by pivoting the structure [2] about the rotational axis [3]. By pivoting the structure [2], the catching wheels [7] and [8], both connected to the rear hub [4], travel along the retainer [5] and [6], respectively, and transmit torque to the rear hub [4] in one direction.

Abstract: The exemplified methods and systems facilitate the evaluation of user experience feedback in a manner that is secure and private by transmitting only representation of a user's response over the network (rather than the original data files of the recording). That is, complex interaction associated with a user to a stimuli is recorded, evaluated, and condensed through a machine learning operation (specifically, a convolutional neural network) performed at the user's computing device. Indeed, only a representation of the interaction is exposed over the network when it is transmitted for subsequent action there-at. Specific audio or image recording used to evaluate the user's user-experience feedback is maintained at the user's computing device. In some embodiments, the recording is preprocessed to generate a series of matrices that can be directly fed into the machine learning operation.

Abstract: The exemplified methods and systems facilitate the evaluation of user experience feedback in a manner that is secure and private by transmitting only representation of a user's response over the network (rather than the original data files of the recording). That is, complex interaction associated with a user to a stimuli is recorded, evaluated, and condensed through a machine learning operation (specifically, a convolutional neural network) performed at the user's computing device. Indeed, only a representation of the interaction is exposed over the network when it is transmitted for subsequent action there-at. Specific audio or image recording used to evaluate the user's user-experience feedback is maintained at the user's computing device. In some embodiments, the recording is preprocessed to generate a series of matrices that can be directly fed into the machine learning operation.

Abstract: The invention pertains to an apparatus which converts the user's body expansion and contraction into propulsion.