Provided is technology to reduce interlayer noise occurring in a multi-story house such as an apartment, and more particularly, an environmental and contextual custom-built artificial intelligence (AI) based, interlayer noise abatement apparatus that defines a standard of interlayer noise based on a user environment or a user-specified context, allows an interlayer noise maker to recognize when the noise exceeding the above standard occurs and allows the interlayer noise maker to voluntarily reduce the interlayer noise, and a method of the same.

An emergency care device is provided. The emergency care device includes a device housing, a processing unit, a temperature sensor, at least one touch sensor, and a signal transmitting unit. The processing unit is disposed in the device housing. The temperature sensor is coupled to the processing unit, wherein the temperature sensor is adapted to send a temperature sensing signal to the processing unit. The touch sensor is coupled to the processing unit, wherein the touch sensor is adapted to send a touch sensing signal to the processing unit. The signal transmitting unit is coupled to the processing unit, wherein the processing unit controls the signal transmitting unit to send an emergency signal according to the temperature sensing signal and the touch sensing signal.

A doorbell system may project an illumination on a surface. The doorbell may include a housing, a button, a camera, a microphone, a speaker, a motion detector, and a light source. In some embodiments, the doorbell includes at least one lens coupled to a bottom surface of the housing adjacent the light source. The at least one lens may be configured to allow light from the light source to pass through the at least one lens such that when the electronic doorbell is attached to a building the light source projects an illumination onto a ground surface in front of the doorbell.

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.

A graphical audio station of a nurse call system is operable to permit a user to perform one or more of the following functions: establish a two-way voice communication link with another computer device in another patient and/or with a another computer device located in another staff work area and/or with a wireless communication device carried by caregiver and/or with a telephone of the healthcare facility; broadcast a voice page to a group of other selected computer devices; compose and send a text message to a portable device that is carried by a caregiver and that has wireless communication capability; browse web pages and/or view multimedia content, such as videos, hosted on servers of the healthcare facility and/or that are accessible via the Internet; view and/or acknowledge and/or answer and/or cancel alerts or nurse calls originating in a plurality of patient rooms.

A doorbell system may project an illumination on a surface. The doorbell may include a housing, a button, a camera, a microphone, a speaker, a motion detector, and a light source. In some embodiments, the doorbell includes at least one lens coupled to a bottom surface of the housing adjacent the light source. The at least one lens may be configured to allow light from the light source to pass through the at least one lens such that when the electronic doorbell is attached to a building the light source projects an illumination onto a ground surface in front of the doorbell.

Methods and systems, including computer programs encoded on a computer storage-medium, are disclosed for implementing intelligent detection of wellness events using mobile device sensors and cloud-based learning systems. A system obtains sensor data generated by sensors integrated in a mobile device of a user. A machine-learning (ML) engine of the system generates a predictive model that identifies behavioral trends of the user. The model is generated using a neural network trained to identify patterns representing user trends in the sensor data. Based on communications with the device, the model is used to generate activity profiles of the user from the behavioral trends. The model is used to detect abnormal events involving the user when a parameter value of the activity profile exceeds a threshold. Notifications directed to assisting the user with alleviating the abnormal event are generated after detecting the abnormal events.

A system that monitors various conditions of a plurality of hospital beds located in different rooms of a healthcare facility is provided. Alternatively or additionally, other types of equipment may be monitored by the system. Various configurations of network interface units that are coupleable to or integrated into a hospital bed are also disclosed. The system receives data from the hospital beds and/or other equipment and initiates a communication to a wireless communication device of at least one designated caregiver in response to the received data being indicative of an alarm condition.

A stationary communication unit is adapted to be mounted to a headwall of a healthcare facility and enable wireless communication between a patient support apparatus and a nurse call system. The unit also performs one or more additional functions, such as, but not limited to: determining when a healthcare worker enters/exits the room; determining when the patient support apparatus exits/enters the room; storing/retrieving medical device data associated with a patient; directing medical device data to one or more displays in the room; auto-updating, auto-retrieving, and/or auto-displaying data upon healthcare worker entry into the room; auto-muting room sounds during nurse-patient communication; and auto-directing a healthcare workers electronic device to data associated with the patient in that room. In alternative embodiments, one or more of these additional functions are incorporated into a patient support apparatus.

Methods and systems for augmentative and alternative communication are disclosed. An example method can comprise receiving a candidate input, classifying the candidate input as an intentional input, and generating a signal in response to the intentional input.