The Experts below are selected from a list of 4515 Experts worldwide ranked by ideXlab platform
Xiaofan Jiang - One of the best experts on this subject based on the ideXlab platform.
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conductive thread based textile sensor for continuous Perspiration level monitoring
Sensors, 2018Co-Authors: Chengtian Xu, Pei Zhang, Xiaofan JiangAbstract:Author(s): Jia, Ji; Xu, Chengtian; Pan, Shijia; Xia, Stephen; Wei, Peter; Noh, Hae Young; Zhang, Pei; Jiang, Xiaofan | Abstract: Individual Perspiration level indicates a person's physical status as well as their comfort level. Therefore, continuous Perspiration level measurement enables people to monitor these conditions for applications including fitness assessment, athlete physical status monitoring, and patient/elderly care. Prior work on Perspiration (sweat) sensing required the user either to be static or to wear the adhesive sensor directly on the skin, which limits users' mobility and comfort. In this paper, we present a novel conductive thread-based textile sensor that measures an individual's on-cloth sweat quantity. The sensor consists of three conductive threads. Each conductive thread is surrounded by a braided cotton cover. An additional braided cotton cover is placed outside the three conductive threads, holding them in a position that is stable for measurement. the sensor can be embedded at various locations on a person's clothing. When the person sweats, the cotton braids absorb the sweat and change the conductivity (resistance) between conductive threads. We used a voltage dividing circuit to measure this resistance as the sensor output (DC). We then conducted a sensor calibration to map this measured voltage to the quantity of electrolyte solution (with the same density as sweat) applied to the sensor. We used this sensor to measure individuals' Perspiration quantity and infer their perceived Perspiration levels. The system is able to limit the average prediction error to 0.4 levels when compared to five pre-defined perceived Perspiration levels.
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moisture based Perspiration level estimation
Ubiquitous Computing, 2018Co-Authors: Ji Jia, Pei Zhang, Shijia Pan, Stephen Xia, Peter Wei, Hae Young Noh, Xiaofan JiangAbstract:Perspiration level monitoring enables numerous applications such as physical condition estimation, personal comfort monitoring, health/exercise monitoring, and inference of environmental conditions of the user. Prior works on Perspiration (sweat) sensing require users to manually hold a device or attach adhesive sensors directly onto their skin, limiting user mobility and comfort. In this paper, we present a low-cost and novel wearable sensor system that is able to accurately estimate an individual's sweat level based on measuring moisture. The sensor is designed in a threadlike form factor, allowing it to be sewn into the seams of clothing, rather than having to act as a standalone sensor that the user must attach to their body. The system is comprised of multiple cotton-covered conductive threads that are braided into one sensor. When a person sweats, the resistance between the braided conductive threads changes as moisture becomes trapped in the cotton covering of the threads. The braided three-dimensional structure allows for robust estimation of Perspiration level in the presence of external forces that may cause sensor distortion, such as motion. We characterize the relationship between the volume of sweat and measured resistance between the braided threads. Finally, we weave our sensors into the fabric of a shirt and conduct on-body experiments to study users' sweating level through various activities.
Pei Zhang - One of the best experts on this subject based on the ideXlab platform.
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conductive thread based textile sensor for continuous Perspiration level monitoring
Sensors, 2018Co-Authors: Chengtian Xu, Pei Zhang, Xiaofan JiangAbstract:Author(s): Jia, Ji; Xu, Chengtian; Pan, Shijia; Xia, Stephen; Wei, Peter; Noh, Hae Young; Zhang, Pei; Jiang, Xiaofan | Abstract: Individual Perspiration level indicates a person's physical status as well as their comfort level. Therefore, continuous Perspiration level measurement enables people to monitor these conditions for applications including fitness assessment, athlete physical status monitoring, and patient/elderly care. Prior work on Perspiration (sweat) sensing required the user either to be static or to wear the adhesive sensor directly on the skin, which limits users' mobility and comfort. In this paper, we present a novel conductive thread-based textile sensor that measures an individual's on-cloth sweat quantity. The sensor consists of three conductive threads. Each conductive thread is surrounded by a braided cotton cover. An additional braided cotton cover is placed outside the three conductive threads, holding them in a position that is stable for measurement. the sensor can be embedded at various locations on a person's clothing. When the person sweats, the cotton braids absorb the sweat and change the conductivity (resistance) between conductive threads. We used a voltage dividing circuit to measure this resistance as the sensor output (DC). We then conducted a sensor calibration to map this measured voltage to the quantity of electrolyte solution (with the same density as sweat) applied to the sensor. We used this sensor to measure individuals' Perspiration quantity and infer their perceived Perspiration levels. The system is able to limit the average prediction error to 0.4 levels when compared to five pre-defined perceived Perspiration levels.
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moisture based Perspiration level estimation
Ubiquitous Computing, 2018Co-Authors: Ji Jia, Pei Zhang, Shijia Pan, Stephen Xia, Peter Wei, Hae Young Noh, Xiaofan JiangAbstract:Perspiration level monitoring enables numerous applications such as physical condition estimation, personal comfort monitoring, health/exercise monitoring, and inference of environmental conditions of the user. Prior works on Perspiration (sweat) sensing require users to manually hold a device or attach adhesive sensors directly onto their skin, limiting user mobility and comfort. In this paper, we present a low-cost and novel wearable sensor system that is able to accurately estimate an individual's sweat level based on measuring moisture. The sensor is designed in a threadlike form factor, allowing it to be sewn into the seams of clothing, rather than having to act as a standalone sensor that the user must attach to their body. The system is comprised of multiple cotton-covered conductive threads that are braided into one sensor. When a person sweats, the resistance between the braided conductive threads changes as moisture becomes trapped in the cotton covering of the threads. The braided three-dimensional structure allows for robust estimation of Perspiration level in the presence of external forces that may cause sensor distortion, such as motion. We characterize the relationship between the volume of sweat and measured resistance between the braided threads. Finally, we weave our sensors into the fabric of a shirt and conduct on-body experiments to study users' sweating level through various activities.
Xinyu Xue - One of the best experts on this subject based on the ideXlab platform.
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a self powered electronic skin for real time Perspiration analysis and application in motion state monitoring
Journal of Materials Chemistry C, 2018Co-Authors: Hui Zeng, Wuxiao Han, Yitong Dai, Lili Xing, Yan Zhang, Xinyu XueAbstract:A new self-powered electronic-skin (e-skin) for real-time Perspiration analysis has been fabricated from a polyaniline (PANI) triboelectric-biosensing unit matrix, which can also work as a self-powered visualization system for preventing exercise injury (dehydration). The biosensing units on the e-skin can be driven by body motion through efficiently converting mechanical energy into triboelectric current. After surface modification with enzymes and a drop-cast chitosan film, the triboelectric output of the biosensing units can be influenced by the target biomarkers, acting as a biosensing signal. This new triboelectrification/enzymatic-reaction coupling effect has been demonstrated in different biosensing units that can detect the urea, uric acid, lactate, glucose, Na+ and K+ concentration in Perspiration without any external electricity power. The e-skin can be linked to a visualization panel, and the input triboelectric current can show the motion state of the human body during exercise. This work can provoke a new research direction for developing wearable healthcare diagnosis systems and self-powered visualization systems. This new technique could also reduce medical expenses and facilitate application in low-income regions.
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a self powered wearable noninvasive electronic skin for Perspiration analysis based on piezo biosensing unit matrix of enzyme zno nanoarrays
ACS Applied Materials & Interfaces, 2017Co-Authors: Wuxiao Han, Linlin Zhang, Chuanyi Dong, Hui Zeng, Yitong Dai, Lili Xing, Yan Zhang, Xinyu XueAbstract:The emerging multifunctional flexible electronic-skin for establishing body–electric interaction can enable real-time monitoring of personal health status as a new personalized medicine technique. A key difficulty in the device design is the flexible power supply. Here a self-powered wearable noninvasive electronic-skin for Perspiration analysis has been realized on the basis of a piezo-biosensing unit matrix of enzyme/ZnO nanoarrays. The electronic-skin can detect lactate, glucose, uric acid, and urea in the Perspiration, and no outside electrical power supply or battery is used in the biosensing process. The piezoelectric impulse of the piezo-biosensing units serves as the power supply and the data biosensor. The working mechanism can be ascribed to the piezoelectric-enzymatic-reaction coupling effect of enzyme/ZnO nanowires. The electronic-skin can real-time/continuously monitor the physiological state of a runner through analyzing the Perspiration on his skin. This approach can promote the development...
Ji Jia - One of the best experts on this subject based on the ideXlab platform.
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moisture based Perspiration level estimation
Ubiquitous Computing, 2018Co-Authors: Ji Jia, Pei Zhang, Shijia Pan, Stephen Xia, Peter Wei, Hae Young Noh, Xiaofan JiangAbstract:Perspiration level monitoring enables numerous applications such as physical condition estimation, personal comfort monitoring, health/exercise monitoring, and inference of environmental conditions of the user. Prior works on Perspiration (sweat) sensing require users to manually hold a device or attach adhesive sensors directly onto their skin, limiting user mobility and comfort. In this paper, we present a low-cost and novel wearable sensor system that is able to accurately estimate an individual's sweat level based on measuring moisture. The sensor is designed in a threadlike form factor, allowing it to be sewn into the seams of clothing, rather than having to act as a standalone sensor that the user must attach to their body. The system is comprised of multiple cotton-covered conductive threads that are braided into one sensor. When a person sweats, the resistance between the braided conductive threads changes as moisture becomes trapped in the cotton covering of the threads. The braided three-dimensional structure allows for robust estimation of Perspiration level in the presence of external forces that may cause sensor distortion, such as motion. We characterize the relationship between the volume of sweat and measured resistance between the braided threads. Finally, we weave our sensors into the fabric of a shirt and conduct on-body experiments to study users' sweating level through various activities.
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Conductive Thread-Based Textile Sensor for Continuous Perspiration Level Monitoring.
eScholarship University of California, 2018Co-Authors: Ji Jia, Xu Chengtian, Pan Shijia, Xia Stephen, Wei Peter, Noh, Hae Young, Zhang Pei, Jiang XiaofanAbstract:Individual Perspiration level indicates a person's physical status as well as their comfort level. Therefore, continuous Perspiration level measurement enables people to monitor these conditions for applications including fitness assessment, athlete physical status monitoring, and patient/elderly care. Prior work on Perspiration (sweat) sensing required the user either to be static or to wear the adhesive sensor directly on the skin, which limits users' mobility and comfort. In this paper, we present a novel conductive thread-based textile sensor that measures an individual's on-cloth sweat quantity. The sensor consists of three conductive threads. Each conductive thread is surrounded by a braided cotton cover. An additional braided cotton cover is placed outside the three conductive threads, holding them in a position that is stable for measurement. the sensor can be embedded at various locations on a person's clothing. When the person sweats, the cotton braids absorb the sweat and change the conductivity (resistance) between conductive threads. We used a voltage dividing circuit to measure this resistance as the sensor output (DC). We then conducted a sensor calibration to map this measured voltage to the quantity of electrolyte solution (with the same density as sweat) applied to the sensor. We used this sensor to measure individuals' Perspiration quantity and infer their perceived Perspiration levels. The system is able to limit the average prediction error to 0.4 levels when compared to five pre-defined perceived Perspiration levels
Chengtian Xu - One of the best experts on this subject based on the ideXlab platform.
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conductive thread based textile sensor for continuous Perspiration level monitoring
Sensors, 2018Co-Authors: Chengtian Xu, Pei Zhang, Xiaofan JiangAbstract:Author(s): Jia, Ji; Xu, Chengtian; Pan, Shijia; Xia, Stephen; Wei, Peter; Noh, Hae Young; Zhang, Pei; Jiang, Xiaofan | Abstract: Individual Perspiration level indicates a person's physical status as well as their comfort level. Therefore, continuous Perspiration level measurement enables people to monitor these conditions for applications including fitness assessment, athlete physical status monitoring, and patient/elderly care. Prior work on Perspiration (sweat) sensing required the user either to be static or to wear the adhesive sensor directly on the skin, which limits users' mobility and comfort. In this paper, we present a novel conductive thread-based textile sensor that measures an individual's on-cloth sweat quantity. The sensor consists of three conductive threads. Each conductive thread is surrounded by a braided cotton cover. An additional braided cotton cover is placed outside the three conductive threads, holding them in a position that is stable for measurement. the sensor can be embedded at various locations on a person's clothing. When the person sweats, the cotton braids absorb the sweat and change the conductivity (resistance) between conductive threads. We used a voltage dividing circuit to measure this resistance as the sensor output (DC). We then conducted a sensor calibration to map this measured voltage to the quantity of electrolyte solution (with the same density as sweat) applied to the sensor. We used this sensor to measure individuals' Perspiration quantity and infer their perceived Perspiration levels. The system is able to limit the average prediction error to 0.4 levels when compared to five pre-defined perceived Perspiration levels.
