Disclosed herein are an apparatus and a method for estimating the behavior of a user based on an image converted from sensing data. The apparatus for estimating the behavior of a user based on an image converted from sensing data includes memory for storing at least one program, and a processor for executing the program, wherein the program performs acquiring sensing data measured by one or more behavior measurement devices worn by the user, converting sensing data of the user obtained for a predetermined time period into images, and estimating the behavior of the user from the images of the user based on a pre-trained model.

A wearable device includes a wearable device main body, a sensor part configured to contact a skin surface of a user of the wearable device, and measure a bio-signal of the user, and a shock absorber that is interposed between the wearable device main body and the sensor part to mechanically connect the wearable device main body and the sensor part, and that is configured to reduce motion transmission between the wearable device main body and the sensor part to permit the wearable device main body to move independently from the sensor part.

Support device for supporting at least one body part of a user at least in portions, optionally completely, comprising a support body, which comprises at least one support region for supporting at least one body part of a user at least in portions, optionally completely.

The present disclosure is directed to systems and methods of collecting environmental and/or biometric information and/or data using a chronic monitoring apparatus that includes a wearable expandable support structure to wirelessly receive power via a wireless power transfer antenna disposed in, on, or about the wearable expandable support structure. The chronic monitoring apparatus includes power receiver circuitry, data transmission circuitry, sensor circuitry, and control circuitry. The wearable expandable support structure maintains close contact between at least a portion of the sensor circuitry and the wearer of the chronic monitoring apparatus without requiring the use of adhesives or other bonding agents. The chronic monitoring apparatus communicates the collected environmental and/or biometric information to external data collection circuitry. The components included in the chronic monitoring apparatus are sealed within the wearable expandable support structure providing a rugged, reliable, resilient and waterproof system that is biocompatible, non-irritating and does not require the use of adhesives.

A detection device that includes an extraction unit that extracts waveform data based on a gait of a walker using sensor data acquired from a sensor installed on a foot of the walker and a detection unit that detects a gait event from the waveform data extracted by the extraction unit.

A walking support system includes: an information output device (260); a motion detector (220) which detects a motion of a user; a foot landing position detector (230) which detect a foot landing position of the user; a determiner (240) which determines a recommended foot landing position which is a landing position of the feet suitable for stabilizing motions of a gait of the user on the basis of motions of a gait of the user detected by the motion detector, the foot landing position detected by the foot landing position detector, and dynamics; and an output controller (250) which outputs information indicating the recommended foot landing position determined by the determiner to the information output device.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

A wireless patient monitoring device can be fully functional stand-alone patient monitoring device capable of various physiological measurements. The patient monitoring device is small and light enough to be comfortably worn on the patient, such as on the patient's wrist or around the neck. The patient monitoring device can have a monitor instrument removably engaging a disposable base. The base can have outlets for connecting to an acoustic respiration sensor and an oximeter sensor. The patient monitoring device can have pogo pin connectors connecting the monitor instrument and the disposable base so that the monitor instrument can receive sensor data from the sensors connected to the disposable base.

A physiological sensor has light emitting sources, each activated by addressing at least one row and at least one column of an electrical grid. The light emitting sources are capable of transmitting light of multiple wavelengths and a detector is responsive to the transmitted light after attenuation by body tissue.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.