Systems and methods for gamified engineering education are disclosed. Embodiments are directed to an interactive learning exercise designed to allow participants to interact with a complex system, make observations, apply various performance engineering tactics and tools, and optimize the complex system based upon findings. At a high level, the system is a simulated casino floor with multiple pre-defined components, stations, roles, and tasks. The objective of the game is to settle as many player wagers as possible in a set amount of time by tuning various aspects of the casino operations. Aspects of the systemthe components, stations, roles, tasks, etc.have analogs in engineering problems. The knowledge gained, including the understanding of how different elements and aspects work with each other, may be applied by the participants to solve future engineering problems.

Systems and methods for gamified engineering education are disclosed. Embodiments are directed to an interactive learning exercise designed to allow participants to interact with a complex system, make observations, apply various performance engineering tactics and tools, and optimize the complex system based upon findings. At a high level, the system is a simulated casino floor with multiple pre-defined components, stations, roles, and tasks. The objective of the game is to settle as many player wagers as possible in a set amount of time by tuning various aspects of the casino operations. Aspects of the systemthe components, stations, roles, tasks, etc.have analogs in engineering problems. The knowledge gained, including the understanding of how different elements and aspects work with each other, may be applied by the participants to solve future engineering problems.

The present invention discloses a food swallowing simulating device, and belongs to the field of structural design of bio-simulation machinery. The device comprises an upper jaw matrix, a tongue matrix, a transmission device and a driving device; the upper jaw matrix and the tongue matrix are arranged oppositely, and opposite surfaces are curved surfaces; a channel is reserved between the curved surfaces to form a bionic oral cavity; and the tongue matrix is connected with the driving device by the transmission device, so that the motion of the tongue matrix is controlled by the driving device. Transition from static food swallowing mechanism simulation to dynamic food swallowing mechanism simulation is realized, and thus, a blank in the market is made up.

A work determination system includes: a biological signal obtaining unit obtaining a biological signal of a worker from a sensor attached to the worker during work; a feature extraction computation unit computing a feature extraction of the obtained biological signal of the worker; a work determination unit determining a work of the worker on the basis of a comparison result between the computed feature extraction of the biological signal of the worker and learning data generated in advance; and a learning unit generating the learning data, wherein the learning unit generates a musculoskeletal model corresponding to each worker, generates a quasi biological signal by reproducing a work of a determination target with the musculoskeletal model, computes a feature extraction of the quasi biological signal, and generates the learning data by associating, with each worker, the work of the determination target and a feature extraction distribution of the quasi biological signal.

A work determination system includes: a biological signal obtaining unit obtaining a biological signal of a worker from a sensor attached to the worker during work; a feature extraction computation unit computing a feature extraction of the obtained biological signal of the worker; a work determination unit determining a work of the worker on the basis of a comparison result between the computed feature extraction of the biological signal of the worker and learning data generated in advance; and a learning unit generating the learning data, wherein the learning unit generates a musculoskeletal model corresponding to each worker, generates a quasi biological signal by reproducing a work of a determination target with the musculoskeletal model, computes a feature extraction of the quasi biological signal, and generates the learning data by associating, with each worker, the work of the determination target and a feature extraction distribution of the quasi biological signal.

An online platform generates a playlist of clips of a lecture accessed by a plurality of users of the online platform. The online platform receives a recording of the lecture, and receives a plurality of events captured during a time period corresponding to the lecture. Each captured event is associated with a time stamp corresponding to a time at which a user performed an activity while listening to the lecture. The online platform clusters the captured events based on the time stamps, and generates one or more clips of the recording of the lecture from the clustered events. The online platform generates a playlist including the clips of the lecture.

An online platform generates a playlist of clips of a lecture accessed by a plurality of users of the online platform. The online platform receives a recording of the lecture, and receives a plurality of events captured during a time period corresponding to the lecture. Each captured event is associated with a time stamp corresponding to a time at which a user performed an activity while listening to the lecture. The online platform clusters the captured events based on the time stamps, and generates one or more clips of the recording of the lecture from the clustered events. The online platform generates a playlist including the clips of the lecture.

There is provided a lung simulation apparatus for simulating a state of a living mammalian lung, the lung simulation apparatus comprising, a housing having a shape defined by an apex, an open base and a lateral surface that tapers from the open base to the apex; an elastic membrane covering the open base of the housing; an inflatable sac disposed within the housing, the sac being in substantial conformance with the shape of the housing and approximating the shape of the living mammalian lung, when in an inflated state; an internal space for containing fluid, the internal space being defined as the space between the housing and the inflatable sac and the space between the elastic membrane and the inflatable sac, wherein the space for containing fluid substantially complies with the anatomical dimensions of an intrapleural space of the living mammalian lung when the inflatable sac is in the inflated state. There is also provided a method of making the lung simulation apparatus.

Techniques for providing medical image processing training are described herein. According to one embodiment, at least one medical image associated with a medical image processing training course (MIPTC) is displayed in a first display area. An instruction is displayed in a second display area, where the instruction requests a user to perform a quantitative determination on at least a portion of a body part within the medical image displayed in the first display area. In response to a user action from the user, the requested determination is performed on the displayed medical image. It is determined automatically without user intervention at least one quantitative value representing a result of the user action. The quantitative value is compared to a predefined model answer.

Techniques for providing medical image processing training are described herein. According to one embodiment, at least one medical image associated with a medical image processing training course (MIPTC) is displayed in a first display area. An instruction is displayed in a second display area, where the instruction requests a user to perform a quantitative determination on at least a portion of a body part within the medical image displayed in the first display area. In response to a user action from the user, the requested determination is performed on the displayed medical image. It is determined automatically without user intervention at least one quantitative value representing a result of the user action. The quantitative value is compared to a predefined model answer.