Study of Pressure Distribution in Floor Tiles with Printed P(VDF:TrFE) Sensors for Smart Surface Applications.

Pressure sensors integrated in surfaces, such as the floor, can enable movement, event, and object detection with relatively little effort and without raising privacy concerns, such as video surveillance. Usually, this requires a distributed array of sensor pixels, whose design must be optimized according to the expected use case to reduce implementation costs while providing sufficient sensitivity. In this work, we present an unobtrusive smart floor concept based on floor tiles equipped with a printed piezoelectric sensor matrix. The sensor element adds less than 130 µm in thickness to the floor tile and offers a pressure sensitivity of 36 pC/N for a 1 cm2 pixel size. A floor model was established to simulate how the localized pressure excitation acting on the floor spreads into the sensor layer, where the error is only 1.5%. The model is valuable for optimizing the pixel density and arrangement for event and object detection while considering the smart floor implementation in buildings. Finally, a demonstration, including wireless connection to the computer, is presented, showing the viability of the tile to detect finger touch or movement of a metallic rod.

Technique-Dependent Relationship between Local Ski Bending Curvature, Roll Angle and Radial Force in Alpine Skiing.

Skiing technique, and performance are impacted by the interplay between ski and snow. The resulting deformation characteristics of the ski, both temporally and segmentally, are indicative of the unique multi-faceted nature of this process. Recently, a PyzoFlex® ski prototype was presented for measuring the local ski curvature (w″), demonstrating high reliability and validity. The value of w″ increases as a result of enlargement of the roll angle (RA) and the radial force (RF) and consequently minimizes the radius of the turn, preventing skidding. This study aims to analyze segmental w″ differences along the ski, as well as to investigate the relationship among segmental w″, RA, and RF for both the inner and outer skis and for different skiing techniques (carving and parallel ski steering). A skier performed 24 carving and 24 parallel ski steering turns, during which a sensor insole was placed in the boot to determine RA and RF, and six PyzoFlex® sensors were used to measure the w″ progression along the left ski (w1-6″). All data were time normalized over a left-right turn combination. Correlation analysis using Pearson's correlation coefficient (r) was conducted on the mean values of RA, RF, and segmental w1-6″ for different turn phases [initiation, center of mass direction change I (COM DC I), center of mass direction change II (COM DC II), completion]. The results of the study indicate that, regardless of the skiing technique, the correlation between the two rear sensors (L2 vs. L3) and the three front sensors (L4 vs. L5, L4 vs. L6, L5 vs. L6) was mostly high (r > 0.50) to very high (r > 0.70). During carving turns, the correlation between w″ of the rear (w1-3″) and that of front sensors (w4-6″) of the outer ski was low (ranging between -0.21 and 0.22) with the exception of high correlations during COM DC II (r = 0.51-0.54). In contrast, for parallel ski steering, the r between the w″ of the front and rear sensors was mostly high to very high, especially for COM DC I and II (r = 0.48-0.85). Further, a high to very high correlation (r ranging between 0.55 and 0.83) among RF, RA, and w″ of the two sensors located behind the binding (w2″,w3″) in COM DC I and II for the outer ski during carving was found. However, the values of r were low to moderate (r = 0.04-0.47) during parallel ski steering. It can be concluded that homogeneous ski deflection along the ski is an oversimplified picture, as the w″ pattern differs not only temporally but also segmentally, depending on the employed technique and turn phase. In carving, the rear segment of the outer ski is considered to have a pivotal role for creating a clean and precise turn on the edge.

Route towards sustainable smart sensors: ferroelectric polyvinylidene fluoride-based materials and their integration in flexible electronics.

With the advent of the Internet of Everything (IoE) era, our civilization and future generations will employ an unimaginable complex array of electronics and sensors in daily life. Ferroelectric polymers represent a core group of materials supporting the fast development of IoE, and their functionality, straightforward processing and unmatched versatility make them prime candidates for integration in multifaceted devices. Since they are highly selective, highly responsive, highly scalable, self-powering and compatible with flexible and stretchable substrates, they can be easily integrated with various electronics into numerous stand-alone objects and even into skin as sensors for monitoring diverse mechanical, thermal and vital parameters. They can also be used in combination with other sensor materials for harvesting waste energy from mechanical and thermal sources, for data storage and for actuation. This article reviews the up-to-date accomplishments in the ferroelectric polymer field, with focus on materials involving polyvinylidene fluoride (PVDF), and also discussed both their current advancement and future growth in the development of sustainable systems.

PopTouch: A Submillimeter Thick Dynamically Reconfigured Haptic Interface with Pressable Buttons.

The interactions with touchscreens rely heavily on vision: The virtual buttons and virtual sliders on a touchscreen provide no mechanical sense of the object they seek to represent. This work presents PopTouch: a 500 µm thick flexible haptic display that creates pressable physical buttons on demand. PopTouch can be mounted directly on touchscreens or any other smooth surface, flat, or curved. The buttons of PopTouch are independently controlled hydraulically amplified electrostatic zipping taxels (tactile pixels) that generate 1.5 mm of out of plane displacement. When pressed by the user, the buttons provide intuitive mechanical feedback thanks to a snap-through characteristic in their force-displacement profile. The snap-through threshold can be as high as 4 N, and is tuned by design and actuation parameters. This work presents two versions of PopTouch: a transparent PopTouch for integration on Touchscreens with built-in touch sensing, such as smartphones and a sensorized PopTouch, with embedded thin-film piezoelectric sensors on each taxel, for integration on substrates without built-in touch sensing, such as a steering wheel. PopTouch adds static and vibrating button-like haptics to any device thanks to its thin profile, flexibility, low power consumption (6 mW per button), rapid refresh rate (2 Hz), and freely configured array format.

Screen-Printed Ferroelectric P(VDF-TrFE)-co-PbTiO3 and P(VDF-TrFE)-co-NaBiTi2O6 Nanocomposites for Selective Temperature and Pressure Sensing.

Piezo- and pyroelectricity is an intrinsically combined material property for all ferroelectric materials. While the pyroelectric coefficients of most ferroelectric ceramics and polymers have the same sign, their piezoelectric coefficients have opposite ones. On this basis, we can create a polymer-ceramic nanocomposite material where either the piezo- or the pyroelectric effect is suppressed by a selective poling of the single constituents, a concept that was shown for composite pellets in the late 1990s. Motivated by the current demand for lightweight and low-cost piezoelectric sensors with reduced cross-sensitivity to temperature variations, we have taken up this idea and formulated screen-printable nanocomposite pastes from poly(vinylidene fluoride-trifluoroethylene (P(VDF-TrFE)) and lead titanate (PbTiO3, PT) or sodium bismuth titanate (NaBiTi2O6 or BNT) nanoparticles, respectively. We demonstrate that printed sensors on flexible substrates based on these materials can be conditioned by selective poling of the nanoparticles and the polymer matrix to show either only piezoelectric or only pyroelectric sensor response. We examined the degree of cross-talk between the thermal and pressure sensing channels and show a reduction of over 90% cross-sensitivity for the ferroelectric composites compared to pure P(VDF-TrFE) sensors.