Disclosed herein is an artificial intelligence massage apparatus for determining a recommended massage setting including a communication modem, a driver comprising at least one motor, and a processor configured to receive, via the communication modem, identification information from a terminal of a user, identify the user using the received identification information, receive, via the communication modem, activity information of the identified user from the terminal or a health care server, determine a recommended massage setting in consideration of the received activity information and a massage setting log of the identified user, and control the driver based on the determined recommended massage setting.

A walking state measurement system includes: an endless belt that defines a walking surface on which a subject walks and that travels along a walking front-rear direction; a marker provided on at least the walking surface along a circumferential direction of the belt; a first camera for taking an image of the subject from front, the first camera taking an image of the marker on the walking surface from above to generate a first image; a second camera for taking an image of the subject from front, the second camera taking an image of the marker on the walking surface from above to generate a second image; and a correction processing unit that corrects an image generated by at least either the first camera or the second camera based on a position of an image area of the marker included in each of the first image and the second image.

The disclosed subject matter relates to a dynamic paver device with vibration feedback. A paver device can include: a paver having a top surface and a bottom surface; a paver frame that creates an interior cavity upon being connected with the paver; at least one pressure sensor connected to the paver, wherein the at least one pressure sensor detects a change in an amount of pressure applied to the top surface of the paver; a vibration system connected to the bottom surface of the paver, where the vibration system is configured to provide a vibrational force to the bottom surface of the paver; and a controller connected to the at least one pressure sensor and the vibration system, where the controller is configured to: receive, from the at least one pressure sensor, a presence indication of an object on the top surface of the paver based on the detected change in the amount of pressure being applied to the top surface of the paver at a first time; and, in response to receiving the presence indication from the at least one pressure sensor, transmit a first signal to the vibration system that causes the vibration system to provide the vibrational force to the bottom surface of the paver.

A walking training device according to the present embodiment includes: a robot leg attached to one leg of a trainee; a treadmill; a load distribution sensor that detects a distribution of a load received from a sole of the trainee riding on the belt of the treadmill; and a walking state determination unit that determines whether the one leg has switched from a standing state to a swinging state based on a state of increase in a load detected by the load distribution sensor and received from another leg of the trainee performing walking training; and a control unit that starts bending control for the swinging state of the robot leg when the walking state determination unit determines that the one leg has switched from the standing state to the swinging state.

A smart walking assistance device with a walker frame having generally vertical sides and an intersecting front. Wheels located at both ends of a bottom edge of the sides. A soft robotic sensing handle extends in a C shape along the upper edges of the sides and front. The sensing handle has multiple contiguous air filled chambers, each containing a pressure sensor for producing a pressure signal representing the pressure within the chamber. A microcontroller unit receives the pressure signals from the pressure sensors of the handle chambers and determines the status of at least one of the device and a user of the device based on the pressure signals. A stabilization mechanism is driven by the microcontroller so as to stabilize the walker in response to the determined status of at least one of the walker and the user.

A pegboard of the present disclosure includes: a main device including multiple unit modules; a board plate including multiple receiving portions; and multiple pegs to be inserted into the multiple receiving portions, and the multiple unit modules include multiple sensor modules configured to sense whether the multiple pegs are inserted into the multiple receiving portions and multiple light source modules configured to output light to the multiple receiving portions.

Disclosed is a massage apparatus. The massage apparatus includes a vibration array including a plurality of vibration devices, a driver configured to vibrate the plurality of vibration devices, and a processor configured to control the driver to generate a stimulus at a stimulus point between the plurality of vibration devices by simultaneously vibrating two or more vibration devices among the plurality of vibration devices.

A lip plumping device includes a positive pressure device having a striking rod and striking head attached on the an end of the striking rod; a force-generating element to propel the striking head with energy which upon impacting on a target spot on a lip or in an area around the lip increases blood flood to the target spot on the lip or in the area around the lip which produces a lip plumping effect; and a button that controls the force-generating element. The target spot and a striking force of the positive pressure device is controlled by instructions from a computing device.

A learning unit of a learning system generates a learning model, the learning model being configured to input rehabilitation data about rehabilitation and predict feedback control to be performed, the rehabilitation being performed by a trainee using a rehabilitation support system. The rehabilitation support system performs the feedback control based on motivation information of the trainee. The rehabilitation data includes at least training data including the motivation information of the trainee and feedback information indicating the feedback control. The learning unit generates the learning model by using, as teacher data, the rehabilitation data that is obtained when the motivation information is one that causes such a change that the motivation of the trainee is improved.

Navigation of a mobility aid robot having a camera and gripping part(s) disposed toward different directions is disclosed. The mobility aid robot is navigated to approach a user by identifying a posture of the user through the camera, determining a mode of the robot according to a type of the specified task to be performed on the user and the identified posture of the user, controlling the robot to move according to a planned trajectory corresponding to the determined mode of the robot, and turning the robot upon reaching the desired pose such that the gripping part faces the user, in response to the determined mode of the robot corresponding to the specified task of an assisting type and the user at one of a standing posture and a sitting posture.