A wristband locking mechanism for a wearable electronic device, a wristband, a wearable electronic device and a method of securing an article to a person. The wristband locking mechanism includes a clasp assembly with independently-operable spring-biased actuators such that the wristband locking mechanism cannot be unlocked using one hand. The use of sensors, processors, communication equipment and associated components within the wearable electronic device allows a caregiver to monitor one or more of location, environmental, physiological and activity data of a wearer of the device, while the requirement for two-handed operation for unlocking of the wristband locking mechanism provides a deterrent against intentional or unintentional removal of the attached article or wearable electronic device by the wearer.

The present invention provides an automatic accompanying system, comprising an user and a accompanying unit following the user, wherein the accompanying unit follows the user according to the user's movement and turning action. The automatic accompanying system comprises: a first pointing unit, a relative position sensing unit and a control module, wherein the first pointing unit detects a facing direction of the user. The accompanying unit collects an orientation signal of the user and a relative position signal for analyzing and generates an instruction signal to control itself to move and turn. Through the said accompanying system, the purposes of accompanying a user in multiple positions, like in the front, behind, by the side, above, increasing safety, reducing the risk of loss, and saving users from paying too much attention on operating the system can be achieved, and it facilitates user to carry out related applications.

An electronic device for providing health information or assistance includes an input configured to receive at least one type of signal selected from sound signals, verbal signals, non-verbal signals, and combinations thereof, a communication module configured to send information related to the at least one user and his/her environment to a remote device, including the sound signals, non-verbal signals, and verbal signals, the remote device being configured to analyze a condition of the at least one user and communicate condition signals to the electronic device, a processing module configured to receive the condition signals and to cause the electronic device to engage in a passive monitoring mode or an active engagement and monitoring mode, the active engagement and monitoring mode including, but not limited to, verbal communication with the at least one user, and an output configured to engage the at least one user in verbal communication.

The present invention discloses a system integrating video communication and physical sign analysis, comprising at least one front-end device. The front-end device comprises a camera device, a display device, an audio device, a button device and a processor. The camera device, the display device, the audio device and the button device are all connected to the processor, and the processor can connect to the Internet network and the mobile device via wired or wireless means. The front-end device and the mobile device can perform video communication, and the front-end device can perform physical sign analysis according to the images collected by the camera device. Based on some applications in the prior art, the present invention combines video collection technology and human face analysis technology to perform physical sign analysis and obtain related indexes.

The invention relates to a method and apparatus for providing feedback to a user, in particular relating to the fall risk of the user and/or relating to advice to reduce the fall risk of the user. According to an embodiment, there is provided an apparatus for providing feedback to a user, the apparatus comprising a user interface for providing feedback to the user; and a processing unit. The processing unit is configured to obtain measurements of the fall risk of the user over a time period, the time period comprising at least one time portion in which the fall risk of the user increases to a first threshold value while moving, the user rests for a resting period when the fall risk reaches the first threshold value, and the user subsequently resumes moving; analyse the measurements of the fall risk of the user to determine the duration of each resting period and the fall risk of the user at the end of each resting period when the user subsequently resumes moving; determine a fall risk recovery profile for the user from the duration of each resting period and the fall risk of the user at the end of each resting period; determine the duration of a resting period required for the fall risk of the user to decrease to a second threshold value using the fall risk recovery profile; and provide feedback to the user on the determined duration via the user interface.

Various embodiments of a video-based fall risk assessment system are disclosed. During operation, this fall risk assessment system can receives a sequence of video frames including a person being monitored for fall risk assessment. The system next generates a sequence of action labels for the sequence of video frames by, for each video frame in the sequence of video frames: estimating a pose of the person within the video frame; and classifying the estimated pose as a given action among a set of predetermined actions. Next, the system identifies a subset of action labels within the sequence of action labels. The system next extracts a set of gait features for the person from a subset of video frames within the sequence of video frames corresponding to the subset of action labels. Subsequently, the system analyzes the set of extracted gait features to generate a fall risk assessment for the person. In some embodiments, the sequence of video frames is captured during a predetermined time period, such as an hour, a day, or a week.

Various embodiments of a vision-based privacy-preserving embedded fall-detection system are disclosed. This embedded fall-detection system can include one or more cameras for capturing video images of one or more persons. Moreover, this embedded fall-detection system can include various fall-detection modules for processing the captured video images including: a pose-estimation module, an action-recognition module, and a fall-detection module, all of which can perform the intended fall-detection functionalities within the embedded system environment in real-time in order to detect falls of the one or more persons. When a fall is detected, instead of sending the original captured images, the embedded fall-detection system can transmit sanitized video images to the server, wherein each detected person is represented by a skeleton figure in place of the actual person images, thereby preserving the privacy of the detected person. The embedded fall-detection system can be implemented as an embedded vision sensor to be installed at a single fixed location.

The present invention relates to a patient with Alzheimer's disease positioning and retrieval assembly carrying an original location, including a sealing box, the upper part of the sealing box is the control part, and the lower part thereof is the display part. The locking outer plate, is fixedly connected to an alarm device communicating with the control part; the display part includes a display positioning sleeve provided within the sealing box. The display positioning sleeve comprises a display glass sleeve, a display sealing block and a display pressing column from front to back. The display glass sleeve is internally sleeved sealingly with a horizontal display glass block, a cardboard is disposed between the display sealing block and the display glass block, the front panel of the sealing box is provided with a display port fitting the display glass block. In the present invention, the control part of the power distribution control box is connected with the alarm device, and the display part of the power distribution control box displays the initial position, thereby it is convenient for people to find the patients and send them back. In addition, sealing of the display part is done by mechanical sealing structure and glass pate, and the original position is displayed by a written paper, thereby energy consumption is low.

A system for monitoring and private assistance to people includes sensors that detect descriptive parameters of environmental conditions, and sensors and/or devices that monitor a person's position and, optionally, her physiological parameters. In particular, the system includes sensors and/or devices that monitor a person's position at the topological level and generate tracking signals in time and within a digital topological model of the environment; sensors that monitor posture and/or its variations in time and that provide status signals corresponding to predetermined postures and/or signals, indicating posture variations in time, which are processed by a logic control unit and software that evaluates position and posture and its variation in time and that classifies the signals according to predetermined categories of motor and/or postural activities, and that performs a comparison between detected parameters and predefined patterns of execution.

The present invention provides a method for swallow safety monitoring and a device thereof, which can monitor eating safety in real-time. By means of the real-time records of fundamental breath sound, the feeding safety for patients or weakness persons with dysphagia can be real-timely monitored and alarmed.