One implementation of the present disclosure is an apparatus including a mirror frame configured to support a mirror substrate that provides a reflection of one or more users in proximity of the mirror cabinet, a sensor cavity coupled to the mirror frame and configured to support a temperature sensor for detecting a temperature of the one or more users in proximity to the mirror cabinet, and a controller configured to analyze data received from the temperature sensor.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

A method includes: determining, by a computing device, historic eye data of a user; determining, by the computing device, a current eye condition of the user based on: current data from a photodiode sensor of a smart contact lens worn by the user; current data from an image sensor of the smart contact lens worn by the user; and the historic eye data of the user; and adjusting, by the computing device, a transmittance of the smart contact lens worn by the user based on the determined current eye condition.

A method includes: determining, by a computing device, historic eye data of a user; determining, by the computing device, a current eye condition of the user based on: current data from a photodiode sensor of a smart contact lens worn by the user; current data from an image sensor of the smart contact lens worn by the user; and the historic eye data of the user; and adjusting, by the computing device, a transmittance of the smart contact lens worn by the user based on the determined current eye condition.

The present application discloses a data processing method, apparatus, system, device, and storage medium. The method includes: receiving IoT data reported by an IoT terminal device; according to a preset rule transmitted by a service system, determining target IoT data in the IoT data, wherein the preset rule is a condition for indicating storage processing of the IoT data; and storing the target IoT data in a storage location corresponding to the preset rule.

A system includes an activator, a sensor, and a hub, coupled thereto. The hub may include: a hub processor configured to execute non-transient computer instructions for instantiating a patterns engine, an exceptions engine, and a response engine. The patterns engine may include first computer instructions which configure the hub to define a pattern for a monitored person and generate a pattern message that may include the pattern. The exceptions engine may include second computer instructions which configure the hub to monitor the monitored person for a deviation from the pattern defined in the pattern message, and when the deviation may be identified, generate a deviation message. The response engine may include third computer instructions which configure the hub to generate, based on the deviation message, a response message. The response message may instruct the hub to activate as least one of the activator and the sensor.

A system includes an activator, a sensor, and a hub, coupled thereto. The hub may include: a hub processor configured to execute non-transient computer instructions for instantiating a patterns engine, an exceptions engine, and a response engine. The patterns engine may include first computer instructions which configure the hub to define a pattern for a monitored person and generate a pattern message that may include the pattern. The exceptions engine may include second computer instructions which configure the hub to monitor the monitored person for a deviation from the pattern defined in the pattern message, and when the deviation may be identified, generate a deviation message. The response engine may include third computer instructions which configure the hub to generate, based on the deviation message, a response message. The response message may instruct the hub to activate as least one of the activator and the sensor.

Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

Embodiments of the invention present invention provide an approach for governing Internet of Things (IoT) device operation. Specifically, the present invention relates to a method and system for utilizing digital twin-based simulation to selectively govern capabilities of surrounding IoT devices to improve a user experience.