A switch assembly that provides haptic feedback includes a printed circuit board (PCB) having a first planar surface that faces in a first direction and a second planar surface that faces in a second direction, the second direction being opposite from the first direction, a touch plate having a first surface that faces in the first direction and a second surface that faces in the second direction, wherein the first surface of the touch plate is proximate the second planar surface of the PCB, and a haptic exciter that has a conductive coil of wire having a hollow inner core and a magnet that is at least partially disposed within the hollow inner core of the coil of wire such that the magnet alternatively moves in the first and second directions as an alternating current passes through the conductive coil of wire.

The invention relates to a touch surface comprising: a carrier substrate (510, 610) comprising 2 opposite faces (511, 512) one (511) of the faces being exposed to touch; and comprising on the face (512) opposite the face (511) exposed to touch, a combined proximity and force sensor (300) comprising: an insulating substrate (210); —conductive tracks (221, 222) deposited on said substrate (210) and configured to produce a capacitive sensor; a force sensor (230) consisting of an assembly of conductive nanoparticles in colloidal suspension in an electrically insulating ligand; a protective layer (310) covering the conductive tracks and the nanoparticle assembly.

The invention also relates to a method for detecting and measuring the force applied by a touch against such a touch surface.

Disclosed herein is an electrostatic capacitance detection circuit including a sense pin to which a sense electrode is to be connected, a ground pin to be grounded, a reference pin to be connected to a node where parasitic capacitance is to be formed between the node and the sense electrode, and a capacitance detection circuit connected to the sense pin, the ground pin, and the reference pin and configured to detect electrostatic capacitance formed by the sense electrode.

A device for detecting an object, with respect to a detection surface, including at least one measuring electrode, at least one emission electrode coupled to the measuring electrode by a piezoresistive layer, and measurement electronics, configured so as to bias the electrodes at the same alternating potential and perform a measurement, called capacitive measurement, of a first measured signal (Vs) relating to the capacitance (Coe), called object-electrode capacitance, seen by the at least one measuring electrode; apply a potential difference between the electrodes and measure a second signal relating to the resistance (Rie) between the electrodes. Also, a detection layer includes such a detection device as well as an item of equipment equipped with such a detection layer.

A multi-value selection switch that includes an engagement surface with an integrated touch sensor. The integrated touch sensor includes a plurality of detectable positions that correspond to, for instance, a range of absolute or relative target input values between a predefined minimum and maximum. The engagement surface further defines a switch that actuates/activates based on detecting a user-supplied force and/or based on a user momentarily holding a finger/pointer position. A user can select a target input value by bringing a finger or other pointer within operable proximity of an associated detectable position and actuating the switch and/or momentarily pausing. In response, the selection switch outputs a control signal to an associated device to cause the same to adjust operation.

A proximity sensor is arranged with a first electrode input with a first signal, a second electrode input with a second signal different from the first signal, a third electrode arranged closer to the first electrode than the second electrode, and the second signal has a reverse phase of the first signal.

A capacitive intelligent workstation detection system, comprising a capacitance detection sensor (1), a capacitive sensing module (201), a microprocessor module (202), a remote management platform (3) and a mobile APP, the capacitance detection sensor (1) detecting a capacitance change when a human body approaches, and after being processed by the capacitive sensing module (201), the capacitance change being sent to the microprocessor module (202) to form workstation state data, the workstation state data being sent to the remote management platform (3), and the remote management platform (3) processing the workstation state data, so as to obtain user habit data. A user uses the mobile APP to obtain relevant data by means of the remote management platform (3), and sends debugging and control information to a workstation detection device (2). The system uses the capacitive sensing module (201), has a small volume, a good concealment, a beautiful appearance and a flexible design, does not require complex optical and microwave devices and has no mechanical device, is less vulnerable to aging and abrasion, and has a long service life and good consistency. The remote management platform (3) serves as a data management and control center, and the mobile APP provides man-machine bidirectional interaction, so as to implement office electric appliance linkage energy-saving management and personnel management.

A touch-based control device is operable to detect touch input over an entirety of the control device's exterior, including at regions of an exterior panel that (i) overlay portions of a circuit board where no touch sensors exist, and/or (ii) extend beyond a perimeter of a touch region or circuit board on which touch sensors are provided.

According to one example of the disclosure, a device comprises an antenna, a capacitor including a first plate having a first voltage, and the antenna having a second voltage, and sensing circuitry coupled to the first plate and configured to apply the first voltage to the first plate, determine a capacitance between the first plate and the antenna, and identify, based on the capacitance, a capacitive touch input.

The present application discloses a human-computer interaction method and an interaction system based on capacitive buttons. The method comprises the following steps: acquiring a capacitive charging signal generated by a user finger-touching a capacitive button; processing the capacitive charging signal to extract Mel-frequency cepstrum coefficient characteristics; and inputting the Mel-frequency cepstrum coefficient characteristics into a trained hidden Markov model, identifying a finger type of the user touching the capacitive button, and further implementing human-computer interaction according to an identification result. The present application utilizes the capacitive charging signals generated by touching the capacitive buttons with different fingers to perform button interaction, thus solving the problem of difficult interaction of capacitive buttons, and the present application trains a hidden Markov chain model by taking the Mel-frequency cepstrum coefficient of the capacitive charging signals as the characteristic, thereby improving the identification accuracy.