A sleep-aiding audio signal updating method and apparatus in the artificial intelligence (AI) field is provided. The method includes: obtaining a first biological signal collected when a first audio signal in a sleep-aiding audio library is played, where the first biological signal is a biological signal of a first user; determining a sleep quality of the first user based on the first biological signal; and updating the sleep-aiding audio library based on the sleep quality of the first user, so that a sleep-aiding audio signal can be updated, to provide a proper sleep-aiding audio signal for a user, and ensure a sleep-aiding effect.

A sleep-aiding audio signal updating method and apparatus in the artificial intelligence (AI) field is provided. The method includes: obtaining a first biological signal collected when a first audio signal in a sleep-aiding audio library is played, where the first biological signal is a biological signal of a first user; determining a sleep quality of the first user based on the first biological signal; and updating the sleep-aiding audio library based on the sleep quality of the first user, so that a sleep-aiding audio signal can be updated, to provide a proper sleep-aiding audio signal for a user, and ensure a sleep-aiding effect.

A virtual reality (VR)-based interactive system for a neuro-meditation and neuro-concentration training. The system has a VR device with a display. The display is configured to provide a VR content. The system also includes a neural interface apparatus having a plurality of electrodes, each electrode is configured to receive a bio-signal data from a user, and a computing device having a processor. The computing device communicates with the neural interface apparatus and the VR device. The computing device also continuously receives the bio-signal data from the electrodes. The processor determines a feedback based on the bio-signal data and predetermined values and communicates the feedback to the VR device, the feedback being displayed as the VR content on the display of the VR device.

A virtual reality (VR)-based interactive system for a neuro-meditation and neuro-concentration training. The system has a VR device with a display. The display is configured to provide a VR content. The system also includes a neural interface apparatus having a plurality of electrodes, each electrode is configured to receive a bio-signal data from a user, and a computing device having a processor. The computing device communicates with the neural interface apparatus and the VR device. The computing device also continuously receives the bio-signal data from the electrodes. The processor determines a feedback based on the bio-signal data and predetermined values and communicates the feedback to the VR device, the feedback being displayed as the VR content on the display of the VR device.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, a biosignal parameter and ambient noise are measured. The biosignal parameter is used to determine sleep condition of a subject. The sleep condition is determined based on one or more of personalized sleep data or historical sleep data collected using a subset of society. Based on the sleep condition, an arousal threshold is determined. Based on the ambient noise and the determined sleep condition, one or more actions are taken to regulate sleep and avoid sleep disruption.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, a biosignal parameter and ambient noise are measured. The biosignal parameter is used to determine sleep condition of a subject. The sleep condition is determined based on one or more of personalized sleep data or historical sleep data collected using a subset of society. Based on the sleep condition, an arousal threshold is determined. Based on the ambient noise and the determined sleep condition, one or more actions are taken to regulate sleep and avoid sleep disruption.

Systems and methods of the present disclosure are directed to neural stimulation via non-invasive sensory stimulation. Non-invasive sensory stimulations can comprise audio stimulation, visual stimulation, mechanical stimulation, or a combination thereof. The combination and/or sequence of one or more of audio, visual, and mechanical brain stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stems from, for example, sleep deprivation, stress, hormonal imbalance, or other physical, physiological, or psychological conditions. In doing so, the present systems and methods can improve the cognitive potential of a person.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

This application provides an intelligent control apparatus, including: a control circuit and a detection and heating circuit. The detection and heating circuit includes a detection and heating material. When the detection heating material works in a detection mode, the detection and heating circuit obtains a bioelectric signal of a user by using the detection and heating material. The control circuit instructs, according to the bioelectric signal, the detection heating circuit to switch a working mode of the detection and heating material to a heating mode; and instructs the detection and heating circuit to determine heating duration and/or a heating temperature of the detecting and heating material. The apparatus may be used in the field of artificial intelligence. Through control of the control circuit, the detection heating material can have both detection and heating functions. Intelligent perception of a state of the user is implemented by detecting of the bioelectric signal.