G04G13/025

Multifunction sleep training device with remote locking mechanism and methods of operation thereof

A sleep training device is disclosed comprising certain electronic components, audio components, light-emitting diodes (LEDs), physical switches, a capacitive touch component, or a combination thereof. The sleep training device can have a housing configured to house the electronic components, the audio components, the LEDs, the capacitive touch component, and at least part of the physical switches. The sleep training device can receive an instruction to schedule a sleep program based on a set parameter from another device in wireless communication with the sleep training device, initiate the sleep program once the set parameter is met, and disable at least one of the physical switches and the capacitive touch component when the sleep program is initiated.

MULTIFUNCTION SLEEP TRAINING DEVICE WITH REMOTE LOCKING MECHANISM AND METHODS OF OPERATION THEREOF

A sleep training device is disclosed comprising certain electronic components, audio components, light-emitting diodes (LEDs), physical switches, a capacitive touch component, or a combination thereof. The sleep training device can have a housing configured to house the electronic components, the audio components, the LEDs, the capacitive touch component, and at least part of the physical switches. The sleep training device can receive an instruction to schedule a sleep program based on a set parameter from another device in wireless communication with the sleep training device, initiate the sleep program once the set parameter is met, and disable at least one of the physical switches and the capacitive touch component when the sleep program is initiated.

INFORMATION PRESENTATION DEVICE, LEARNING DEVICE, INFORMATION PRESENTATION METHOD, LEARNING METHOD, INFORMATION PRESENTATION PROGRAM, AND LEARNING PROGRAM

A state acquisition unit of an information presentation device acquires a state of a user. Then, an action information acquisition unit acquires an action according to the state acquired by the state acquisition unit by inputting the state acquired by the state acquisition unit to a learning model or a learned model for outputting the action according to the state from the state of the user, the learning model or the learned model being subjected to reinforcement learning based on a reward function which outputs a reward according to the state of the user relative to a target state of the user. Then, an information output unit outputs the action acquired by the action information acquisition unit.

Alarm clock with charging ports

An alarm clock is provided that has a housing, one or more charging ports, an audio transducer, an alarm control device, a display, and a controller. The charging ports are mounted in a surface of the housing and provide power from a power supply to an external device. The controller receives input signals from the alarm control device and sends output signals to the audio transducer and the display. When the controller receives input signals from the alarm control device, it responds by displaying and setting a desired alarm time on the display, and by arming an alarm function. While the alarm function is armed, if a current time matches the alarm time, the controller causes the audio transducer to emit an alarm sound. When the controller receives another input signal from the alarm control device, it responds by taking the alarm time off the display, disarming the alarm function, and, if the alarm sound is being emitted, quieting the alarm sound. The alarm function remains disarmed until the controller receives yet another input signal from the alarm control device, and in response rearms the alarm function.

METHODS AND SYSTEMS FOR DISABLING SLEEP ALARM BASED ON AUTOMATED WAKE DETECTION

Techniques are disclosed for facilitating disabling an alarm in response to particular types of activity-indicative data. More specifically, activity-indicative data (e.g., sensor data or input(s) can be detected prior to a preset alarm time. Upon determining, based on the activity-indicative data, that a wakefulness condition is satisfied (e.g., that the activity-indicative data corresponds to one or more predefined characteristics), a disablement query can be displayed that includes an option to disable the alarm. In response to detecting a selection of the option, the alarm can be disabled such that the alarm stimuli is not to be presented at the preset alarm time.

Methods and systems for disabling sleep alarm based on automated wake detection

Techniques are disclosed for facilitating disabling an alarm in response to particular types of activity-indicative data. More specifically, activity-indicative data (e.g., sensor data or input(s) can be detected prior to a preset alarm time. Upon determining, based on the activity-indicative data, that a wakefulness condition is satisfied (e.g., that the activity-indicative data corresponds to one or more predefined characteristics), a disablement query can be displayed that includes an option to disable the alarm. In response to detecting a selection of the option, the alarm can be disabled such that the alarm stimuli is not to be presented at the preset alarm time.

Information processing apparatus and method

The present technology relates to information processing apparatus and method, and a program that make a stress level controllable depending on circumstances. A stress level measuring unit measures a stress level of a user on the basis of a result of detection by various types of sensors included in an input unit. A stress factor specifying unit specifies a factor causing an increase or decrease in the stress level on the basis of an action of the user in a period in which the stress level is increased or decreased. The present technology is applicable to a stress control system, for example.

Alarm control apparatus and method using face recognition

An alarm unit includes an apparatus and a method of maximizing the efficiency of an alarm function that wakes up a sleeping user. An image input unit capable of photographing an eye image as a criterion for determining if the user has woken up is mounted on an alarm control apparatus. The image input unit mounted alarm control apparatus photographs a face image of the user, detects the eye region from the face image, and then determines a state of whether the user has woken up or not based on movement of the pupils in the eye region. If it is determined that the user keeps a waking state for a certain time, an alarm function is cancelled. By doing this, the alarm unit can help prevent the user from easily cancelling an alarm and maximize the efficiency of an alarm function that wakes up a sleeping user.

Smart-safe masking and alerting system

Aspects of the present disclosure provide methods, apparatuses, and systems for a personalized wake-up system. A sleep assistance device outputs a sound. In response to detecting a sound that exhibits one or more predetermined sound properties, actions are taken to adjusting the sound in an effort to wake the subject. Examples of predetermined sound properties include any sound detected over a threshold decibel level, sounds detected at a certain frequency spectrum. According to aspects, subject may further configure the system to alert the subject based on a set of personalized sounds the subjects considers to be important. According to aspects, the audio device or system is configured to determine the subject is awake based on collected biosignal parameters. The audio device or system takes further actions to disrupt the subject's sleep until the subject is determined to be awake.

Cognitive alert system

Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.