Provided is an information processing device including: a storage device having a program stored therein; and a hardware processor, wherein the hardware processor executes the program stored in the storage device to: acquire first data for a dimension of position relating to an object represented in a generalized coordinate system; acquire at least second data for a dimension of acceleration from a plurality of inertial sensors attached to the object; and convert the second data into third data for a dimension of acceleration represented in the generalized coordinate system on the basis of the first data.

An article of footwear includes a motorized tensioning system, sensors, and a gesture control system. Based on information received from one or more sensors the gesture control system may detect a prompting gesture and enters an armed mode for receiving further instructions. In the armed mode the system may detect a variety of different control gestures that correspond to different tensioning commands.

Systems and methods may be used to perform robot-aided surgery. A system may include a robotic controller to monitor a position and orientation of an end effector coupled to an end of a robotic arm. The robotic controller may apply a force to a bone using the end effector, such as via a soft tissue balancing component. The robotic controller may determine soft tissue balance using information from a tracking system, such as a position of a first tracker affixed to the bone. The soft tissue balance may be output, such as to a display device.

A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes one or more cameras and a data processor configured to execute computer executable instructions. The computer executable instructions include: (i) receiving one or more images of the scene from the one or more cameras; (ii) extracting features from the one or more images of the scene for providing inputs to a first branch pose estimation neural network and a second branch pose estimation neural network; (iii) generating, by using a three dimensional reconstruction module, three dimensional reconstructions from two dimensional pose estimates produced by the second branch pose estimation neural network; and (iv) projecting, by using a reprojection module, the three dimensional reconstructions to camera image planes of respective image samples, and uploading the reprojections and image samples to an annotation server.

Systems, methods and a sensor alignment mechanism are disclosed for medical navigational guidance systems. In one example, a system to make sterile a non-sterile optical sensor for use in navigational guidance during surgery includes a sterile drape having an optically transparent window to drape the optical sensor in a sterile barrier and a sensor alignment mechanism. The alignment mechanism secures the sensor through the drape in alignment with the window without breaching the sterile barrier and facilitates adjustment of the orientation of the optical sensor. The optical sensor may be aligned to view a surgical site when the alignment mechanism, assembled with the sterile drape and optical sensor, is attached to a bone. The alignment mechanism may be a lockable ball joint and facilitate orientation of the sensor in at least two degrees of freedom. A quick connect mechanism may couple the alignment mechanism to the bone.

Hand held weight units of light weight manufactured as a solid unit, a shell unit with core insert combinations or modular units with interlocking ends. Shell units with core inserts and modular interlocking units allow for the changing of held weight by inserting or removing inserts or by locking or unlocking of modular weight unit sets creating varying held weight. The weight units are primarily used with upper body exercises during aerobic exercises in the home, outdoors, or in a gym setting such as walking or running to vary the intensity of workout during use.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes a first sensor circuit to sense a first signal indicative of a functional state of the subject, a second sensor circuit to sense a second signal different from the first signal, and a controller circuit. The controller circuit may determine an operating mode of the second sensor circuit according to the sensed first signal, trigger the second senor circuit to sense the second signal under the determined operating mode, and generate a pain score using at least the second signal sensed under the determined operating mode. The pain score may be output to a patient or used for closed-loop control of a pain therapy.

A method of generating a measurement of anatomy of interest from two-dimensional imaging includes receiving two-dimensional imaging associated with anatomy of interest; detecting a plurality of anatomical features of the anatomy of interest in the two-dimensional imaging using at least one machine learning model; determining characteristics of the plurality of anatomical features based on the detection of the plurality of anatomical features; and generating at least one measurement of the anatomy of interest based on at least some of the characteristics of the plurality of anatomical features.

A motion capture system includes a motion sensor having a flexible body and a fiber bragg gratings (FBG) sensor inserted into the body, a fixture configured to fix the motion sensor to a human body of a user, a light source configured to irradiate light to the motion sensor, and a measurer configured to analyze a reflected light output from the motion sensor, wherein the FBG sensor includes an optical fiber extending along a longitudinal direction of the body and a sensing unit formed in a partial region of the optical fiber and having a plurality of gratings, and wherein a change of a wavelength spectrum of the reflected light, caused by the change of an interval of the gratings due to a motion of the user, is detected to measure a motion state of the user.