Intelligent anti‐epidemic mask based on KF and ECF fusion algorithm

Abstract

In response to environmental pollution and the spread of Coronavirus Disease 2019 , this paper proposes a new type of smart mask design, and specifically proposes an optimized double closedloop control method, especially an improved filtering fusion algorithm. Using the filtering fusion algorithm proposed in this paper, after the Kalman filter (KF) filters the raw data of the attitude sensor, explicit complementary filtering and data fusion are used to obtain the attitude angle of the body. At the same time, the obtained attitude angle is combined with acceleration and blood oxygen concentration to obtain the behaviour characteristic value. On this basis, the speed of the oxygen supply fan captured by the photoelectric sensor is used to form a closed loop with the characteristic value of the behaviour. Finally, the structure of the mask is upgraded and optimized through fluid mechanics simulation, and experiments have verified that the combination of the replaceable filter cloth, the intelligent control system and the ultraviolet disinfection device can effectively protect people's health.

A Breathable, Reusable, and Zero-Power Smart Face Mask for Wireless Cough and Mask-Wearing Monitoring

“…(e) IR image of people wearing the smart mask with the harmonic sensor attached; the temperature difference is about 3 °C. (f) Comparison of differential pressure drops of the commercial face mask, porous SEBS substrate of our designed harmonic sensor, and PDMS and/or PCB commonly used in current smart face masks. ,− ,, Resistance changes under (g) stretching, (h) bending, and (i) torsion. The error bars are generated from 3 different samples in each group.…”

“…Perhaps, face mask wearing enforcement in densely populated places is one of the most effective means to stop the spread of virus, as respiratory face masks are highly effective in blocking most respiratory droplets and aerosols. , Despite these efforts, the increase in reported cases of COVID-19 continues, which has led to an urgent need for more effective ways to combat the coronavirus and restore society to a certain semblance of normalcy. To address this, smart face masks made by equipping respiratory face masks with electronic sensors and modules have been recently proposed. − To date, smart masks are mainly used for two purposes: (1) to monitor respiratory symptoms, such as cough, − , and (2) to enhance the filtration of airborne pathogens including coronaviruses; ,, both contribute to prevention and control of respiratory diseases. In addition to the significance in diminishing the pandemic, there has been a witnessed trend of smart masks and wearables for their potential in health monitoring and preventive care, − personalized behavior modeling, − and healthcare internet-of-things (IoTs). − Nevertheless, existing research largely ignores wearing comfort and breathability, which are crucial for user experience and compliance of wearing face masks.…”

“…In addition to the significance in diminishing the pandemic, there has been a witnessed trend of smart masks and wearables for their potential in health monitoring and preventive care, − personalized behavior modeling, − and healthcare internet-of-things (IoTs). − Nevertheless, existing research largely ignores wearing comfort and breathability, which are crucial for user experience and compliance of wearing face masks. The state-of-the-art smart face masks usually employ rigid materials or printed circuit boards (PCBs) attached to the nonporous polydimethylsiloxane (PDMS), ,− ,, which are generally bulky, cumbersome, and, most importantly, nonbreathable. The lack of breathability markedly impedes the practice of smart face masks due to swelter and discomfort.…”

“…The proposed smart face mask consists of a zero-power radio frequency (RF) harmonic transponder, which is attached to the inner side of an ordinary face mask and can be torn off and reattached for repeated usage (Figure b). To achieve better wearing comfort than current smart masks, − ,, the RF harmonic transponder is printed using spray-printed silver nanowires (AgNWs) on the multiscale porous polystyrene- block -poly­(ethylene- ran -butylene)- block -polystyrene (SEBS) substrate (Figure c); both nanomaterials are lightweight, flexible, stretchable, and, most importantly, breathable. Moreover, the 0.2–7 μm pores of the SEBS substrate can efficiently block the sunlight, while allowing transmission of the human-body infrared (IR) radiation (which is in some sense similar to a spectral filter), thereby enabling passive heat dissipation and/or passive cooling .…”

The Key Technologies of Road Elevation Detection Based on Sensor Fusion

“…The complementary filtering algorithm [ 14 , 15 ] can eliminate the accumulated error of the attitude sensor. When measuring the pitch angle of the road surface, a low-frequency accelerometer is added to detect the pitch angle of the vehicle when the vehicle is running [ 16 , 17 ], and the pitch angle calculated by the accelerometer is used to correct the measurement value of the attitude sensor.…”