A wearable epidermal sensor for human intention recognition and its application

Abstract

The invention belongs to the technical field of flexible wearable electronic devices, and discloses a wearable epidermis sensor for recognition of human body intentions and its application, including an encapsulation layer, an electrode layer, a friction layer, an adhesion layer and an The isolation layer, the electrode layer includes the internal circuit and the electrodes, the internal circuit is dendritic, and multiple electrodes are respectively arranged at the ends of each branch of the internal circuit; the packaging layer and the friction layer completely cover the electrode layer from both sides, and the shape is consistent with the shape of the electrode layer The same; the adhesion layer is arranged at the lower end of the friction layer, and it does not cover the corresponding position of the electrode; the isolation layer is embedded in the adhesion layer. The invention enables the device to be more effectively attached to the arm muscles through the structural design of the patterned adhesive layer and the spacer layer, and can better realize the contact separation effect when the hand muscles are deformed, so that there are obvious signal output and Better human body intention recognition effect improves the wearability, comfort and practicability of the human body intention recognition sensor.

Description

technical field [0001] The invention belongs to the technical field of flexible wearable electronic devices, and more specifically relates to a wearable skin sensor for human body intention recognition and its application. Background technique [0002] Today, with the rapid development of microelectronics and material technology, a large number of new microelectronic devices with multiple functions and high integration have been continuously developed, and have shown unprecedented application prospects in various fields in people's daily life. The human-machine interface can naturally expand the communication channel between human and external devices, connect human intentions with machine behavior, and realize human-computer interaction. So far, bioelectrical signals applied to human-computer interfaces include neuron signals, as well as cortical electrical signals, EEG, EMG, EoG signals, etc. Due to the low signal-to-noise ratio and poor stability, the development of mech...

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Problems solved by technology

Due to the low signal-to-noise ratio and poor stability, the development of mechanical human-machine interfaces based on biopotential signals is slow, so it is of great significance to develop wearable epidermal sensors that can quickly and effectively recognize human intentions.

[0003] Most of the sensors used in the existing human-machine interface technology are placed on the human hand, and the existing human-machine interface is in the shape of gloves, bracelets or arm sleeves, which are similar to clothing and have limited wearability, which greatly limits the normal function of the human hand. Activities, especially scenes that need to be grabbed

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