Sports Monitoring Research Articles

A Breathable Knitted Fabric-Based Smart System with Enhanced Superhydrophobicity for Drowning Alarming.

Wearable strain sensors have aroused increasing interest in human motion monitoring, even for the detection of small physiological signals such as joint movement and pulse. Stable monitoring of underwater human motion for a long time is still a notable challenge, as electronic devices can lose their effectiveness in a wet environment. In this study, a superhydrophobic and conductive knitted polyester fabric-based strain sensor was fabricated via dip coating of graphene oxide and polydimethylsiloxane micro/nanoparticles. The water contact angle of the obtained sample was 156°, which was retained above 150° under deformation (stretched to twice the original length or bent to 80°). Additionally, the sample exhibited satisfactory mechanical stability in terms of superhydrophobicity and conductivity after 300 abrasion cycles and 20 accelerated washing cycles. In terms of sensing performance, the strain sensor showed a rapid and obvious response to different deformations such as water vibration, underwater finger bending, and droplet shock. With the good combination of superhydrophobicity and conductivity, as well as the wearability and stretchability of the knitted polyester fabric, this wireless strain sensor connected with Bluetooth can allow for the remote monitoring of water sports, e.g., swimming, and can raise an alert under drowning conditions.

S08-2 Reproducibility and validity of four physical activity questionnaires in 18 European union member states: the European Union Physical Activity and Sport Monitoring System (EUPASMOS) project

BackgroundThe successful promotion of health-enhancing physical activity (HEPA) requires reliable and valid prevalence data of physical activity (PA) to enable the design, implementation and evaluation of effective and cost-effective policies. As part of the development of a new integrated monitoring framework in Europe, the reliability and validity of the Eurobarometer, European Health Interview Survey (EHIS), International Physical Activity Questionnaire (IPAQ) and Global Physical Activity Questionnaire (GPAQ) were studied in the ongoing European Union Physical Activity and Sport Monitoring System project (EUPASMOS) among 18 European Union member states.MethodsPhysical activity (PA) and sedentary behavior (SB) were assessed among 80-100 adults per member state using the four questionnaires and the UKK RM42 accelerometer. Participants completed the questionnaires in random order and wore the accelerometer seven consecutive days on their right hip (during the day) and on their non-dominant wrist (overnight). Time spent in moderate-to-vigorous intensity physical activity (MVPA), sedentary behavior and adherence to the WHO PA guidelines were calculated based on the 5 methods. The reproducibility and validity of the four questionnaires were tested by using the Spearman's correlation coefficient (ρ) or Cohen's kappa coefficient (κ), dependent of the outcome measure.ResultsPreliminary results from the Netherlands (N = 91) showed that the correlations for reproducibility of all four questionnaires varied between 0.51 and 0.63 for MVPA, between 0.30 and 0.60 for the WHO PA guidelines and between 0.65 and 0.82 for SB. All correlations were statically significant (p > 0.05). Significant correlations for validity of the questionnaires were found for MVPA (ρ = 0.22-0.43) and the WHO PA guidelines (ρ = 0.19-0.25). The only exception was the association between the EHIS questionnaire and the WHO PA guidelines. For SB, only GPAQ and the EHIS questionnaire showed significant associations (ρ = 0.31-0.32).ConclusionsFirst analyses of the Dutch data within the EUPASMOS project showed that the four commonly used questionnaires in Europe are fairly to strongly reliable methods depending on the outcome measure. The four questionnaires are fairly valid methods, except the Eurobarometer and IPAQ when examining SB. It is of interest to examine the quality of these questionnaires in all 18 member states for national and European policy makers.

S08 Do results from physical activity questionnaires (IPAQ, GPAQ, EHIS and Eurobarometer) and accelerometer tell same story - results from 18 countries in the EUPASMOS project

Physical activity (PA) is associated with reduced risk of many noncommunicable diseases while a high volume of sedentary behavior (SB) is also considered to increase the risk of these diseases. Accurate measurement of both PA and SB is crucial for estimating these risk factors, and accelerometers together with standardized questionnaires are suggested a feasible way to measure these behaviors. However, collecting raw acceleration data of PA, SB and sleep in a standardized and similar way on a large scale has not been done before. In the European Union Physical Activity and Sport Monitoring System project (EUPASMOS), this has been done for the first time in 18 EU Member States.

S08-1 Comparing physical activity measurement instruments across member states by means of a conversion factor: European Union Physical Activity and Sport Monitoring System (EUPASMOS) project

BackgroundThe successful promotion of health-enhancing physical activity (HEPA) requires authoritative information to enable the design, implementation and evaluation of effective and cost-effective policies. This includes reliable and valid prevalence data of physical activity (PA) that can be compared across European Union Member States populations regardless of the type of measurement instrument used. In order to enable comparison of PA prevalence data between different measurement instruments, an attempt was made to develop a conversion factor between commonly used questionnaires in Europe and accelerometry in the ongoing European Union Physical Activity and Sport Monitoring System project (EUPASMOS) among 18 member states.MethodsData of physical activity (PA) and sedentary behavior (SB) were collected in 18 member states using four questionnaires (Eurobarometer, European Health Interview Survey, International Physical Activity Questionnaire and Global Physical Activity Questionnaire) and the UKK RM42 accelerometer. The number of measured participants varied between 100 and 1000 among the 18 member states. Participants completed the questionnaires in random order and wore the accelerometer seven consecutive days on their right hip (during the day) and on their non-dominant wrist (overnight). Time spent in moderate-to-vigorous intensity physical activity and sedentary behavior were calculated based on these 5 measurement instruments. The comparison between methods will be examined by using sophisticated regression analyses.ResultsThe EUPASMOS project is in progress and the final data is collected in the last two member states. In the meantime, a model is being developed to examine whether a conversion factor can be calculated to compare prevalence data based on questionnaires and accelerometry. By developing a conversion factor, prevalence data can be compared between member states although the measurement instruments used differ between member states. In June 2020 the results from these analyses are expected.ConclusionsThese results will provide insight into the possibility to compare prevalence data of physical activity among member states, when using different measurement instruments within their monitoring systems.

S08-3 Physical activity, sedentary behavior and sleep-time of Eupasmos-project participants in 16 European countries: European Union Physical Activity and Sport Monitoring System (EUPASMOS) project

Abstract Background Increasing number of studies use device-based measurements to report levels of physical activity (PA) and sedentary behavior (SB) of populations. The studies have used different devices, device placements and analysis methods, and thus the comparison of the results between studies and populations is very challenging. The purpose of the present study was to present preliminary results of PA, SB and sleep-time measured with a similar method among adults of 16 European countries. Methods The study is based on the Eupasmos-project where PA, SB and sleep-time of the participants (n = 6674) were measured by a tri-axial accelerometer 24/7 (UKK RM42, UKK Terveyspalvelut Oy, Tampere, Finland). Accelerometer was worn on an elastic hip-band during waking-hours and on a wrist-band attached to a non-dominant wrist during bed-time (sleeping). PA-parameters were based on mean amplitude deviation (MAD) of acceleration analyzed in 1min exponential moving average (epoch length 6s). Assessment of SB (e.g. sitting and laying down) and standing were based on the angle for posture estimation (APE). Sleep measurement was based on the movement of a non-dominant wrist during bed-time. Parameters analyzed were total daily times and different bout lengths of SB, standing, light PA, moderate-to-vigorous PA, sleep and mean number of daily steps. Results The preliminary analysis included 47-1952 participants/country. In all countries participants spent most of their waking-hours sedentary. On weekdays the country-mean of SB varied from 8h18min to 10h7min. Participants took on average 6907-9716 steps/day. Light PA varied from 3h46min to 5h10min and moderate-to-vigorous PA from 45 to 78min. Participants wore the device on their wrist (sleeping-time) 6h42min-8h37min on weekdays. Although the total times of these behaviors were quite similar between the countries, the variation increased when different bout lengths were analyzed: the longer the bout length, the larger the variation. The hour-by-hour pattern of these behaviors varied a lot between the countries as well. Conclusions General pattern of SB, PA and sleep-time was quite similar in all countries, but the deeper analysis revealed clear differences. To be able to compare levels and patterns of these behaviors it is essential to use the exactly same method in all participating countries.

From Materials to Devices: Graphene toward Practical Applications.

Graphene, as an emerging 2D material, has been playing an important role in flexible electronics since its discovery in 2004. The representative fabrication methods of graphene include mechanical exfoliation, liquid-phase exfoliation, chemical vapor deposition, redox reaction, etc. Based on its excellent mechanical, electrical, thermo-acoustical, optical, and other properties, graphene has made a great progress in the development of mechanical sensors, microphone, sound source, electrophysiological detection, solar cells, synaptic transistors, light-emitting devices, and so on. In different application fields, large-scale, low-cost, high-quality, and excellent performance are important factors that limit the industrialization development of graphene. Therefore, laser scribing technology, roll-to-roll technology is used to reduce the cost. High-quality graphene can be obtained through chemical vapor deposition processes. The performance can be improved through the design of structure of the devices, and the homogeneity and stability of devices can be achieved by mechanized machining means. In total, graphene devices show promising prospect for the practical fields of sports monitoring, health detection, voice recognition, energy, etc. There is a hot issue for industry to create and maintain the market competitiveness of graphene products through increasing its versatility and killer application fields.

Elastic Kernmantle E-Braids for High-Impact Sports Monitoring.

The kernmantle construction, a kind of braiding structure that is characterized by the kern absorbing most of the stress and the mantle protecting the kern, is widely employed in the field of loading and rescue services, but rarely in flexible electronics. Here, a novel kernmantle electronic braid (E‐braid) for high‐impact sports monitoring, is proposed. The as‐fabricated E‐braids not only demonstrate high strength (31 Mpa), customized elasticity, and nice machine washability (>500 washes) but also exhibit excellent electrical stability (>200 000 cycles) during stretching. For demonstration, the E‐braids are mounted to different parts of the trampoline for athletes’ locomotor behavior monitoring. Furthermore, the E‐braids are proved to act as multifarious intelligent sports gear or wearable equipment such as electronic jump rope and respiration monitoring belt. This study expands the kernmantle structure to soft flexible electronics and then accelerates the development of quantitative analysis in modern sports industry and athletes’ healthcare.

Accuracy and Precision of Wearable Devices for Real-Time Monitoring of Swimming Athletes.

Nowadays, the use of wearable devices is spreading in different fields of application, such as healthcare, digital health, and sports monitoring. In sport applications, the present trend is to continuously monitor the athletes’ physiological parameters during training or competitions to maximize performance and support coaches. This paper aims to evaluate the performances in heart rate assessment, in terms of accuracy and precision, of both wrist-worn and chest-strap commercial devices used during swimming activity, considering a test population of 10 expert swimmers. Three devices were employed: Polar H10 cardiac belt, Polar Vantage V2, and Garmin Venu Sq smartwatches. The former was used as a reference device to validate the data measured by the two smartwatches. Tests were performed both in dry and wet conditions, considering walking/running on a treadmill and different swimming styles in water, respectively. The measurement accuracy and precision were evaluated through standard methods, i.e., Bland–Altman plot, analysis of deviations, and Pearson’s correlation coefficient. Results show that both precision and accuracy worsen during swimming activity (with an absolute increase of the measurement deviation in the range of 13–56 bpm for mean value and 49–52 bpm for standard deviation), proving how water and arms movement act as relevant interference inputs. Moreover, it was found that wearable performance decreases when activity intensity increases, highlighting the need for specific research for wearable applications in water, with a particular focus on swimming-related sports activities.

Editors' words

<p class="Text">Developing materials is basic in wearable technology. The materials had better be stretchable, comfortable, bendable, portable, light and flexible enough to move with the users. That’s why flexible materials are widely used in health diagnosis, sports monitoring, rehabilitation and entertainment.</p><p class="Text">Sensors are devices that detect some types of input from the physical environment and respond to them. Sensors in wearable technology are also wearable, and they are widely used in measuring health-related symptoms.</p><p class="Text">In this issue, we will see some articles about the technique involving in smartwear materials and sensors. Two of our editor board members offered articles of this topic.</p>Prof. Shufang Li from Beijing University of Posts and Telecommunications discussed the different realization methods and performance index requirements of wearable antenna (a new form of wearable devices), introduced the research situation of wearable antenna in China and other countries in recent years, and analyzed the development trend of wearable antenna. Prof. Liping Xie from Northeastern University summarized the development of flexible sensors in recent years, discussed how to construct high-performance flexible stress sensors based on deep analysis and investigation on the working principle and structural design of flexible stress sensors, pointed out the existing problems and looked forward to the development trend of flexible stress sensors. These two articles used to be published in Chinese and it’s our honor to get the two professors’ authorization to have the articles translated and republished. A lot of other interesting researches and reviews were collected in this issue as well.

Research progress of flexible wearable stress sensor

<p>Flexible wearable pressure sensors are widely used in health diagnosis, sports monitoring, rehabilitation medicine, entertainment, and other fields due to some factors such as the stretch ability, bendability, light weight, portability, and excellent electrical properties. In recent years, significant progress has been made in flexible pressure sensors, and a variety of flexible pressure sensors that able to measure health status have been applied to the pulse wave, movement, respiration, and electrocardiogram (ECG) detection. However, there are still many problems to be solved in the development of flexible pressure sensors. This article summarizes the development of flexible pressure sensors in recent years, from the working principle to the structural design of the flexible pressure sensors; designs to build a high-performance flexible pressure sensors; discusses the problems existing in current flexible pressure sensors and envisions the development trend of flexible pressure sensors in the future. Flexible pressure sensors with excellent flexibility, good biocompatibility, rapid response, high sensitivity, and multifunctional integration have shown a broad application prospects.</p>

Workload and nutritional monitoring in sports

Workload and nutritional monitoring in sports

Ultrasensitive and wide-range reduced graphene oxide/natural rubber foam sensors for multifunctional self-powered wireless wearable applications

Flexible wearable electronics is an emerging research field in recent years, showing the great potential in human health monitoring and motion capture, electronic skin and intelligent robots. However, it is still challenging to develop all-in-one sensors with high sensitivity, wide range, fast response, excellent reliability and mechanical durability for multiple wearable purposes. Here a hierarchical conductive structure based on reduced graphene oxide (RGO) segregated network and porous natural rubber (NR) is rationally designed via industrially-applicable synchronous foaming-reduction-vulcanization (SFRV) method. The resultant all-in-one RGO/NR foam sensors have wide detection range (0.87–223 kPa), high sensitivity (7.00 kPa−1), fast response (70 ms) and excellent durability (1000 cycles), and simultaneously exhibit differentiated responsiveness to various external stimuli such as pressure, acoustic vibration, temperature, humidity and gaseous chemicals. Besides, a smart insole consisting of 24 foam blocks as sensor array is fabricated to identify plantar pressure distribution for gait recognition, abnormal posture correcting and diseases diagnosis applications. Surprisingly, the RGO/NR foam can also harvest mechanical energy during compression cycles and deliver an open-circuit voltage of 20–30 V and current of 10 nA. This provides an opportunity to develop wireless self-powered multifunctional wearable system based on the RGO/NR foam for human health and sport monitoring.

Development and Prospects of Triboelectric Nanogenerators in Sports and Physical State Monitoring

Sports and physical fitness play important roles in people’s daily life. By sticking to exercise we can better enjoy a healthy life. Scientific and accurate monitoring of sports training and individual physical condition is important. However, many challenges still need to be solved, such as the complex design of measurement devices, the external power supplies, inaccurate measurement data, and unscientific measurement methods. Recently, the TENG-based self-powered real-time measurement sensors have attracted much more attention due to their unique advantages such as wearable features, simple construction, a wide choice of materials, and operation without external power supply. They can measure a wide range of real-time data such as haptics, velocity, pressure, and dynamic movement. In addition, they can also be made into a human–machine interactive device to provide athletes with a scientific approach to training. In this review, the working principle of TENGs is summarized and clarified. Moreover, the applications of the TENG in the areas of tactical strategy in sports, individual sports training, and physical state monitoring are also reviewed. Finally, the challenges and development opportunities faced by the TENG are also discussed and summarized.

System Design and Simulation for Square Dance Movement Monitoring Based on Machine Learning.

Since the reform and opening, China's economy has grown rapidly, and people's living standards have improved significantly. As one of the most effective ways to implement national fitness, square dance has gradually become the main lifestyle of urban communities, an important part of China's sports construction, and an important indicator to reflect the fitness of the masses and the construction of a well-off society in an all-round way. On the other hand, with the rapid development of internet of things technology, many people can use intelligent bracelets based on machine learning technology to realize motion detection. This technology is also applicable in square dance, which is of great significance to exercise and protect health. This paper first reviews the research status of the internet of things communication protocol and cloud platform, then introduces and analyzes the MQTT communication protocol and Netty high-performance network framework, and studies the integration technology of the internet of things and machine learning. Then, according to the characteristics of the internet of things, a scheme to realize data preprocessing is proposed. The value to be completed is calculated based on the correlation of other attributes corresponding to the k-nearest neighbor model (KNN) and the regression model. Finally, the machine learning algorithm is used to train the results of the three models to obtain the final filling value. The whole scheme design allows the machine learning algorithm to obtain relatively high-quality data in the internal environment. This paper designs a sports monitoring data system for square dance by combining machine learning and internet of things technology, so as to promote national fitness.

A Sport Monitoring System Based on the Optimized Adaptive Fuzzy PID Control Algorithm in OneNet Internet of Things and Cloud Platform.

Aiming at some problems existing in the existing sports monitoring system, based on the joint action of OneNet Internet of Things (IoT) and cloud platform, an optimized adaptive fuzzy PID control algorithm is adopted to monitor and analyze sports. Finally, the accuracy of the optimization model is verified through the comparison of different models, and the algorithm is used to predict and analyze sports. The research shows that (1) as the index calculation of cloud platform shows, with the increase of iteration time, the change curve of relevant indexes can be divided into four different stages, namely, rapid fluctuation stage, slow decline stage, slow fluctuation stage, and rapid decline stage. (2) The conventional calculation method (CPID) cannot well describe the change rule of the test data in the early stage of settlement. The fuzzy adaptive calculation method (NPID) also exposes some errors in the fitting and description of the test curve in the calculation process, while the improved adaptive calculation method (GPID) can describe the change characteristics and rules of the test curve well for different stages. (3) Compared with the original model, the optimization model can better describe the first and second stages of index change, indicating the accuracy of the optimization model. And the algorithm can be used to predict and analyze the changes of indicators and sports monitoring better, and the analysis results can provide relevant guidance for sports monitoring. This optimization scheme provides basis and theoretical support for the application of OneNet IoT and cloud platform.

Training Monitoring in Sports: It Is Time to Embrace Cognitive Demand.

Appropriate training burden monitoring is still a challenge for the support staff, athletes, and coaches. Extensive research has been done in recent years that proposes several external and internal indicators. Among all measurements, the importance of cognitive factors has been indicated but has never been really considered in the training monitoring process. While there is strong evidence supporting the use of cognitive demand indicators in cognitive neuroscience, their importance in training monitoring for multiple sports settings must be better emphasized. The aims of this scoping review are to (1) provide an overview of the cognitive demand concept beside the physical demand in training; (2) highlight the current methods for assessing cognitive demand in an applied setting to sports in part through a neuroergonomics approach; (3) show how cognitive demand metrics can be exploited and applied to our better understanding of fatigue, sport injury, overtraining and individual performance capabilities. This review highlights also the potential new ways of brain imaging approaches for monitoring in situ. While assessment of cognitive demand is still in its infancy in sport, it may represent a very fruitful approach if applied with rigorous protocols and deep knowledge of both the neurobehavioral and cognitive aspects. It is time now to consider the cognitive demand to avoid underestimating the total training burden and its management.

A Bilayer Skin-Inspired Hydrogel with Strong Bonding Interface.

Conductive hydrogels are widely used in sports monitoring, healthcare, energy storage, and other fields, due to their excellent physical and chemical properties. However, synthesizing a hydrogel with synergistically good mechanical and electrical properties is still challenging. Current fabrication strategies are mainly focused on the polymerization of hydrogels with a single component, with less emphasis on combining and matching different conductive hydrogels. Inspired by the gradient modulus structures of the human skin, we propose a bilayer structure of conductive hydrogels, composed of a spray-coated poly(3,4-dihydrothieno-1,4-dioxin): poly(styrene sulfonate) (PEDOT:PSS) as the bonding interface, a relatively low modulus hydrogel on the top, and a relatively high modulus hydrogel on the bottom. The spray-coated PEDOT:PSS constructs an interlocking interface between the top and bottom hydrogels. Compared to the single layer counterparts, both the mechanical and electrical properties were significantly improved. The as-prepared hydrogel showed outstanding stretchability (1763.85 ± 161.66%), quite high toughness (9.27 ± 0.49 MJ/m3), good tensile strength (0.92 ± 0.08 MPa), and decent elastic modulus (69.16 ± 8.02 kPa). A stretchable strain sensor based on the proposed hydrogel shows good conductivity (1.76 S/m), high sensitivity (a maximum gauge factor of 18.14), and a wide response range (0–1869%). Benefitting from the modulus matching between the two layers of the hydrogels, the interfacial interlocking network, and the patch effect of the PEDOT:PSS, the strain sensor exhibits excellent interface robustness with stable performance (>12,500 cycles). These results indicate that the proposed bilayer conductive hydrogel is a promising material for stretchable electronics, soft robots, and next-generation wearables.

A self-powered triboelectric multi-information motion monitoring sensor and its application in wireless real-time control

With the advantages of low power consumption, low cost and miniaturization, self-powered sensors have a wide range of applications in the human-machine interface, Internet of Things (IoTs), sports monitoring and versatile fields. Here, a novel and easy-processing self-powered triboelectric multi-information motion monitoring sensor (TM3S) is proposed and systemically investigated under the conditions of rolling and sliding motion. The relationships between electrical signals (charge, rate of charge change, current, rate of current change, voltage, etc.) and kinetic parameters (displacement, direction, velocity, acceleration, etc.) are established and verified with various motion states. The results show that TM3S can precisely detect the displacement, direction, velocity, and acceleration of the moving object, demonstrating excellent performance in motion monitoring. Furthermore, a wireless self-powered motion monitoring system based on TM3S is developed, which can detect the movement of a sliding mouse in real time, wirelessly transmit sensing data instantaneously, and achieve real-time control in human-machine interface. The real-time motion monitoring system exhibits two significant advantages of high sensitivity and self-powered nature, showing huge potential in low power consumption IoTs and intelligent human-machine interaction.

Construction of the Maximum Oxygen Intake Regression Equations for Exercise Training on Respiration and Heart Rate.

To explore the correlation between the maximum percentage heart rate and the maximum percentage oxygen intake, provide an evaluation basis for heart rate for the assessment of exercise load intensity. Four boys and 4 girls were randomly selected, aged 26.25 ± 2.12 years old with good health, good cardiopulmonary function, no other medical history, and irregular physical training history. The subject measured the first 30 min of rest at 25°C at room temperature, kept awake and static, and the heart rate was measured as the quiet heart rate in the state. Prepredicted maximum heart rate and health index were determined according to the Polar s810 heart rate table instructions. Prepredicted maximum heart rate and health index were measured three consecutive times and reliability analysis was performed on three measurements. The regression equations were established by a stepwise method with data represented that all metrics were tested for normality for fitness index and maximum oxygen intake compared using a paired t test with a significance level of P < 0.05. The results showed that the highest value of VO2max motor cardiopulmonary test was 47.83 ml/(kg·min), the lowest was 35.06 ml/(kg·min), the two-step test was 44.50 ml/(kg·min), and the lowest was 32.89 ml/(kg min).With a positive correlation between the postexercise heart rate and the maximum oxygen intake, the maximum oxygen intake value can be indirectly inferred using the heart rate after the exercise and the work completed by the exercise. The results measured by two-step test have some accuracy and can be used to speculate the maximum oxygen intake in the ordinary young population. The polar heart rate meter allows subjects to indirectly measure the maximum oxygen intake in silence, requiring less equipment and being easy to operate. The indirect measurement of the maximum oxygen intake can be used for the monitoring of competitive sports and national fitness.

Tailoring of photocurable ionogel toward high resilience and low hysteresis 3D printed versatile porous flexible sensor

Flexible wearable sensors with high stretchability and portability are widely used in health diagnosis, sports monitoring, rehabilitation, and so on. Nevertheless, hysteresis, which is a problematic issue, prevails in flexible sensors due to the intrinsic viscoelasticity of soft materials. In this work, a photocurable resin containing ionic liquids (ILs) and hydrogen bond-rich acrylate monomer is prepared. Combined with an optimized lattice structure, the porous ionogel flexible sensors (PIFS) exhibit a higher pressure sensitivity and lower hysteresis (2.4%), which offers reliable signals during long-term loading (500 cycles). Further test results demonstrate prepared photocurable resin a promising material for digital light processing (DLP) 3D printer to print tailored PIFS with high stretchability and low Young’s modulus. Besides, the PIFS possesses antibacterial properties and accurate temperature variation detection. A lower glass transition temperature (-45.8 °C) of PIFS enables it to work in a cryogenic atmosphere. A series of custom-structured PIFSs is printed as wearable sensors for monitoring pulse, finger, gait, and other human motion. This facile preparation strategy is applicable for the printing of high-performance customized PIFS with a high throughput.