A wearable apparatus is disclosed. The wearable apparatus includes: a sensor for detecting a motion of the wearable apparatus; and a processor for extracting a motion pattern on the basis of the motion detected by the sensor, comparing a preselected motion pattern with the extracted motion pattern, and counting the number of times of motion corresponding to the preselected motion pattern.

A motion recognition device includes a memory, and a processor coupled to the memory and configured to classify a plurality of frames including positional information of a feature point that corresponds to a predetermined part or a joint part of a body of a subject into a plurality of groups in time series by segmenting the plurality of frames in time series based on a position of the predetermined part of the body of the subject, identify a type of a basic motion that corresponds to the group, based on movement of the feature point included in a consecutive frame, for each group, and evaluate a skill and a difficulty level of a motion performed by the subject based on an order of each type of the basic motion that corresponds to a group which is consecutive in time series.

A device is provided for studying the ability of at least one mouse to find its bearings in a maze, the device including a plurality of houses distributed around a central agora and in which at least one stimulator allows the at least one mouse to carry out certain activities and/or satisfy certain primary needs. Each house further includes at least one sensor for measuring the activity of the mouse in the house, and more particularly its use of the at least one stimulator. Finally, a sensor makes it possible to detect and measure the movements of each mouse in the device. Quantitative parameters originating from these measurements thus make it possible to highlight the quality of the geographical memory of the at least one mouse.

A system (100) monitors a position stability of a person (105) located on a patient positioning device (104) within a medical setting monitored area (108) and includes a sensor unit (110) with optical sensors (112) real time outputting a sensor signal (114) sensor data indicating a sequence of three-dimensional views of the monitored area over a monitoring time. A processor unit (120) receives the sensor signal and determines, based on indicated three-dimensional views, a person's center of weight (121), a geometric reference value (123), and a geometric distance (D) between the center of weight and the geometric reference value and automatedly monitors the determined geometric distance in real time over a monitoring time and calculates a current position stability (127) as a function of the currently determined geometric distance and geometric distances determined within a past analysis time interval and outputs a position stability signal (129).

A method for detecting handwriting problem, comprising: acquiring, by a handwriting instrument comprising one motion sensor, motion data while a user is using the handwriting instrument, analyzing the motion data by an artificial intelligence trained to detect a handwriting problem.

In one embodiment, an apparatus (12) that samples a signal obtained or derived from an accelerometer, filters the samples, accumulates the filtered samples, and determines which limb the apparatus is associated with based on a comparison of the filtered accumulated samples and a threshold set.

Medical devices coupled to a sensor, and systems including such devices, can generate data and analysis based on that data, which may be used to identify and/or address problems associated with the implanted medical device, including incorrect placement of the device, unanticipated degradation of the device, and undesired movement of the device. Also provided are medical devices coupled to a sensor, and devices and methods to address problems that have been identified with an implanted medical device.

The present disclosure includes systems and methods for deriving certain characteristics of the patient's body related to motion from captured motion data. The characteristics may be used to compare the characteristics of the supposed injury to the characteristics of a normally functioning body part as well as the functions of an injured body part. The present disclosure provides a reliable and reproducible way to determine whether a supposed injury is a feigned or exaggerated injury or an actual injury.

A mouth guard, or wearable device, senses impact forces, calculates risk factors for injury, and displays status of risk and potential injury. A mouth guard may be used to identify, treat and prevent exacerbating brain injury. A wearable device can be programmed with biometric data to better calculate and anticipate impact thresholds and more precisely predict and prevent injury.

Aspects of the present invention relate to providing assistance to medical professionals during the performance of medical procedures through the use of technologies facilitated through a head-worn computer.