The invention refers to the field of processing and analyzing video data received from video surveillance cameras, and more specifically, to technologies aimed at detecting a human in a frame and at analyzing their posture for subsequent detection of potentially dangerous situations by video data. The system for detecting potentially dangerous situations contains video cameras, a memory, a graphical user interface (GUI), and a data processing device. Data processing device is configured to receive real-time video data, analyze the received video data, obtain horizontal lines for each of the set corrective vertical lines, split the frame into zones, construct the leg vector based on a pair of the lower limbs key points and determine their belonging to one of the resulting zones, construct a back vector, determine the lower limbs tilt angle between the resulting back vector and the leg vector, determine the human's posture, and detect a potentially dangerous situation, if the human's posture is one of the postures indicating a potentially dangerous situation.

A vital signs monitoring patch with integrated display (VSM) includes a user access layer for accessing a display section and a first printed silver-silver chloride (Ag—AgCl) electrode. A polyethylene foam layer including battery and plunger cut-outs. A printed circuit board assembly (PCBA) layer including vitals sign monitoring sensors and the battery and connected to the first and second printed Ag—AgCl electrodes. The polyethylene foam layer bonded to the user access layer and the PCBA layer. A sensor layer including reflection mode oximetry components and the second printed Ag—AgCl electrode. A hydrogel conductive adhesive to interact between a user skin and the second printed Ag—AgCl electrode. A medical tape layer bonded to the user skin and the sensor layer. A plunger connected to the PCBA layer and configured to power on the VSM, where user access of the first printed Ag—AgCl electrode completes a circuit with the second printed Ag—AgCl electrode.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

An acquisition system includes a processor, one or more sensors operatively coupled to the processor where the one or more sensors acquire at the ear, on the ear or within an ear canal, one or more of acceleration, blood oxygen saturation, blood pressure or heart-rate, and the one or more sensors configured to monitor a biological state or a physical motion or both for an event. The event can be a detection of a discrepancy when compared with a set of reference data by the one or more sensors or the biological state or the event can be one of a detection of an abrupt movement of a headset operatively coupled to the processor, a change in location of an earpiece operatively coupled the processor, a touching of the headset, a recognizing of a voice command, a starting or ending of a phone call, or a scheduled time.

System and method for capturing a movement sequence of a person. The method comprises capturing a plurality of images of the person executing a movement sequence by means of a contactless sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated. In addition, vital signs and/or signal processing parameters of the person can be acquired and evaluated.

A sensing and processing system includes a plurality of wearable sensing devices each including an inertial measurement unit (IMU) to be positioned on a subject and generate accelerometer signals and gyroscope signals. The system includes a processor to identify near-fall events indicative of the subject nearly falling down based on the generated accelerometer signals and gyroscope signals, and wherein the processor is to generate, for each of the near-fall events, subject response data indicative of a recovery response of the subject to recover from the near-fall event.

A method of preventing a fall risk and an apparatus for performing the method includes receiving, by a fall prevention apparatus, gait data, generating, by the fall prevention apparatus, gait analysis data on the basis of analysis of the gait data, and generating, by the fall prevention apparatus, fall prevention data on the basis of the gait analysis data.

A protective system for respiration, and a management method facilitates stably supplying filtered air for safety such that the equipment management or the safety management can be performed remotely. The protective equipment includes a main body that covers the face of an operator, a fan unit including an air filter and an electric fan, a detecting section, a first control section, and a first communication section. The detecting section detects a physical quantity concerning at least one of a work environment of the operator, an action state of the operator, and an operation state of the electric fan. The first control section controls the electric fan based on a detection result of the detecting section. The first communication section transmits first information indicating a detection result of the detecting section or second information concerning an operation amount on a control target of the first control section to an external device.

It is provided a wearable device for determining when a user has fallen down. The wearable device comprises: a first biometric sensor for obtaining first biometric data of the user, wherein the first biometric sensor is a first accelerometer configured to measure acceleration of a part of a first limb of the user; a second biometric sensor for obtaining second biometric data of the user comprising a finger pressure parameter; and a third biometric sensor for obtaining third biometric data, the third biometric sensor being a second accelerometer configured to measure acceleration of a body part of the user being distinct from the first limb. The wearable device is configured to determine an identity of the user is based on the first biometric data, the second biometric data and the third biometric data, the identity being used to control access to a physical space, and to determine when the user has fallen down.

A charging station for providing power to a physiological monitoring device can include a charging bay and a tray. The charging bay can include a charging port configured to receive power from a power source. The tray can be positioned within and movably mounted relative to the charging bay. The tray can be further configured to secure the physiological monitoring device and move between a first position and a second position. In the first position, the tray can be spaced away from the charging port, and, in the second position, the tray can be positioned proximate the charging port, thereby allowing the physiological monitoring device to electrically connect to the charging port.