Abstract: A smart office desk interactive with the user, defined on the basis of an individual work desk (M) and various hardware and software elements applied to it and whose main hardware components comprise a working desktop divided into two zones, one which can be raised at an angle, motor-driven legs which raise and lower the desktop, a footrest tray and a series of sensors integrated into the desktop structure and in the legs. The smart office desk learns from the user by machine learning algorithms, and proposes physical actions in accordance with what has been learned. The table collects information from the user concerning their postures and working habits, using various physical sensors, and by their interactions with the software application displayed onscreen. It is thus a table controlled by a computer system which receives data on the user and the working environment as inputs.

Abstract: Ergonomic desk and modular design for collaborative dispositions, where said ergonomic desk has an upper desktop (1) of trapezoid shape, with an ergonomic curve adapted to the user, a height-adjustable plane (2) in an angle in the middle of said desktop raised by a telescopic linear actuator, a footrest tray (3), a raised tray (6) and motor-driven height-adjustable legs (9) moored to a flat support (8) with wheels (10) and an electronic device with a touch-screen (5) to operate the assembly, characterised by the fact that with a modular coupling of six ergonomic desks, creating a hexagonal unit, a working area of 7.8 m2 is obtained, within a 9.9 m2 square, representing a 38% reduction of the working area created with traditional desks.

Abstract: A smart office desk interactive with the user, defined on the basis of an individual work desk (M) and various hardware and software elements applied to it and whose main hardware components comprise a working desktop divided into two zones, one which can be raised at an angle, motor-driven legs which raise and lower the desktop, a footrest tray and a series of sensors integrated into the desktop structure and in the legs. The smart office desk learns from the user by machine learning algorithms, and proposes physical actions in accordance with what has been learned. The table collects information from the user concerning their postures and working habits, using various physical sensors, and by their interactions with the software application displayed onscreen. It is thus a table controlled by a computer system which receives data on the user and the working environment as inputs.