A sheet providing method provides a sheet that is used by being applied to a body surface of an individual user. The method involves determining a shape and dimensions of a sheet for each individual user U based on body surface information of the individual user; and forming the sheet by controlling a discharge nozzle that discharges a raw material of the sheet based on information regarding the shape and the dimensions of the sheet. Also, a sheet providing system having a sheet specification determining unit that determines a shape and dimensions of a sheet for each individual user based on body surface information of the individual user; and a sheet forming unit that forms the sheet by controlling a discharge nozzle that discharges a raw material of the sheet based on information regarding the shape and the dimensions of the sheet.

The present disclosure relates to techniques for collection and processing of data over a network, and in particular to in providing generalized analysis for preserving privacy of data sources. In some embodiments, a system receives a request for analytical data made by a requester, wherein the request includes: information for identifying one or more data source devices to be queried for input data, a type of data processing to be performed on the input data for generating the analytical data, and a data type for the analytical data. In response to receiving the request, the system causes the one or more data source devices to be queried for the input data. The system causes a response that includes the analytical data to be sent to the requester. Other embodiments are described throughout the present disclosure.

The present disclosure relates to techniques for collection and processing of data over a network, and in particular to in providing generalized analysis for preserving privacy of data sources. In some embodiments, a system receives a request for analytical data made by a requester, wherein the request includes: information for identifying one or more data source devices to be queried for input data, a type of data processing to be performed on the input data for generating the analytical data, and a data type for the analytical data. In response to receiving the request, the system causes the one or more data source devices to be queried for the input data. The system causes a response that includes the analytical data to be sent to the requester. Other embodiments are described throughout the present disclosure.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

Methods and systems for customizing the characteristic of an electronic device (in the Internet of Things (IoT) environment based on at least one user's physiological state are provided. The method includes identifying context of the electronic device in response to receiving at least one event by the electronic device, wherein the at least one context includes at least one current user activity and an environmental context of a user. The method includes determining the change in a health parameter of the user and re-calibrates the characteristics of an electronic device through the magnitude of change in health parameter from the learning module. The method includes identifying current user activity and an environment context of the user on receiving the event from the electronic device).

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining clothing article data stream data from one or more internet of things (IoT) device disposed in a computing environment, wherein the computing environment is collocated with a residence of a user, the clothing article data stream data representing one or more clothing article of the user; examining data of the clothing article data stream data to determine at least one clothing article parameter value of the one or more clothing article; in dependence at least one clothing article parameter value of the one or more clothing article, and providing user profile data that specifies predicted behavior of the user.

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.

An Internet of Things device is herein disclosed. The Internet of Things device comprises a communications module having circuitry to communicatively connect to a computer network, a memory operable to store data, a processor coupled to the memory and the communications module and operable to execute instructions stored in the memory, and an activity module, including at least one of a sensor and a control device. The activity module operates under control of the processor to perform a designated activity with at least one of the sensor and the control device. The activity module further communicates on the computer network via the communications module. The processor curtails a volume of communication of the communications module on the computer network if a measured value of a system parameter exceeds a threshold value.

An Internet of Things device is herein disclosed. The Internet of Things device comprises a communications module having circuitry to communicatively connect to a computer network, a memory operable to store data, a processor coupled to the memory and the communications module and operable to execute instructions stored in the memory, and an activity module, including at least one of a sensor and a control device. The activity module operates under control of the processor to perform a designated activity with at least one of the sensor and the control device. The activity module further communicates on the computer network via the communications module. The processor curtails a volume of communication of the communications module on the computer network if a measured value of a system parameter exceeds a threshold value.