Abstract: There is provided an information processing device, an information processing method, and a program that further improve skills. A load weight control unit controls generation of a load weight that becomes a load with respect to motion when a keyboard is depressed by a pianist, and a keystroke recognition unit recognizes motion of the keyboard. Then, the load weight control unit performs control of starting generation of a predetermined load weight at a timing when the keystroke recognition unit recognizes that the keyboard started to be depressed, and ending generation of the load weight at a timing when the keystroke recognition unit recognizes that the keyboard ended to be depressed and started to return. The present technology can be applied to, for example, a performance skill improvement system that evaluates and trains pianists' force sense.

Abstract: An information processing apparatus (100) includes an estimation unit (132) that estimates time-series information regarding a posture of a finger on the basis of image information including an operation of the finger with respect to an object including a contact operation of the finger with respect to the object and the object. The estimation unit (132) estimates the time-series information regarding the posture of the finger by using a first machine learning model learned to estimate the time-series information regarding the posture of the finger on the basis of the image information including the operation of the finger and the object.

Abstract: There is provided a measurement device which is operable to measure a movable range of a finger easily in a further small size and a measurement method, and a program. The measurement device includes: a first linear motion mechanism which has a contacting part contacting a back of a hand and linearly moves along a longitudinal direction, the back of the hand serving as reference of measurement; a second linear motion mechanism which moves together with a finger targeted for the measurement and linearly moves along a longitudinal direction; and a rotation mechanism which rotatably connects one end of the first linear motion mechanism and one end of the second linear motion mechanism and has a sensor detecting a rotation amount of the second linear motion mechanism, the second linear motion mechanism rotating with respect to the first linear motion mechanism.

Abstract: An information processing apparatus (100) according to the present application includes two or more force sensors (110) that each detect a force of two or more different fingers of a user, and a processing unit (122) that executes information processing related to measurement of forces of the two or more different fingers based on detection results detected by each of the two or more force sensors (110).

Abstract: Provided is an information processing device including an acquisition unit that acquires subjective evaluation information from a second user about each performance performed by at least part of a body of a first user moving, a learning unit that performs machine learning on a relationship between the each performance and the corresponding subjective evaluation information and generates relationship information between the each performance and the corresponding subjective evaluation information, and a presentation unit that presents feedback information to the second user based on the relationship information.

Abstract: There is provided an information processing device, an information processing method, and a program that further improve skills. A load weight control unit controls generation of a load weight that becomes a load with respect to motion when a keyboard is depressed by a pianist, and a keystroke recognition unit recognizes motion of the keyboard. Then, the load weight control unit performs control of starting generation of a predetermined load weight at a timing when the keystroke recognition unit recognizes that the keyboard started to be depressed, and ending generation of the load weight at a timing when the keystroke recognition unit recognizes that the keyboard ended to be depressed and started to return. The present technology can be applied to, for example, a performance skill improvement system that evaluates and trains pianists' force sense.