2024 IEEE Applied Sensing Conference (APSCON)最新文献

APSCON 2024 TOC Apscon 2024 toc

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/apscon60364.2024.10465824

引用次数: 0

Design and modeling of curved beam based differential capacitive MEMS accelerometer 基于曲线梁的差分电容式 MEMS 加速计的设计与建模

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465764

Sai Kishore Jujjuvarapu, Ashok Kumar Pandey

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Piezoelectric Response of Pristine PVDF Thin-film for Sensing in Sports Applications 用于运动传感的原始 PVDF 薄膜的压电响应

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10466017

Ariba Siddiqui, M. Bhattacharjee

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iRider: Integrating Sensors and Cameras for In-depth Biomechanical Analysis of Electric Scooter iRider：集成传感器和摄像头，对电动滑板车进行深入的生物力学分析

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465780

Joicy Alwin, Jyotsna Callista, Kaviena Sharon, Paul M. Kallarackal, J. M. Asensio-Gil, Carlos Rodr´ıguez-Morcillo, Rodr´ıguez-Morcillo Garc´ıa

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Heart Sounds Classification Using Frequency Features with Deep Learning Approaches 利用深度学习方法的频率特性进行心音分类

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465862

Kokou Elvis Khorem Blitti, Fitsum Getachew Tola, Pema Wangdi, Dinesh Kumar, Anjali Diwan

{"title":"Heart Sounds Classification Using Frequency Features with Deep Learning Approaches","authors":"Kokou Elvis Khorem Blitti, Fitsum Getachew Tola, Pema Wangdi, Dinesh Kumar, Anjali Diwan","doi":"10.1109/APSCON60364.2024.10465862","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465862","url":null,"abstract":"Cardiovascular diseases are diseases that attack the heart or the blood vessels. Since the heart is the body’s most important organ, it is crucial to spot anomalies in its functioning. Many researchers have examined various automated categorization techniques for heart sounds, which has been a topic of interest for decades. Thanks to machine learning techniques, large datasets of heart sounds may now be automatically evaluated. Recent studies have used support vector machines, and neural networks to categorize heart sounds more accurately. The highest reported accuracy of 0.99 was attained by a Convolutional Neural Network-based model that utilized the short-time Fourier transform and Mel-frequency Cepstral coefficients as features. However, the worth of the input signal and the variation in heart sounds between people can have an impact on how accurate these algorithms are. This paper exhibits the potential of machine learning models and deep learning models in classifying heart sounds. An accuracy of 0.8884 has been reached by applying a Convolutional Neural Network model on the spectrogram feature extracted from the heart sounds.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"102 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chemical Vapor Deposited Graphene/PDMS based Flexible Strain Sensor for Human Motion Detection Application 基于化学气相沉积石墨烯/PDMS 的柔性应变传感器在人体运动检测中的应用

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465725

Suraj Baloda, Navneet Gupta, Sumitra Singh

引用次数: 0

Physical Activity Repetition Count Extraction From Sparse mmWave Radar Point-Cloud 从稀疏毫米波雷达点云中提取体育活动重复次数

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465981

Girish Tiwari

引用次数: 0

Disposable and Flexible PEDOT:PSS-based Temperature Sensor for Healthcare Applications 用于医疗保健应用的一次性柔性 PEDOT:PSS 基温度传感器

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465834

Ajay Beniwal, Chong Li

{"title":"Disposable and Flexible PEDOT:PSS-based Temperature Sensor for Healthcare Applications","authors":"Ajay Beniwal, Chong Li","doi":"10.1109/APSCON60364.2024.10465834","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465834","url":null,"abstract":"Temperature sensors with excellent disposability, biocompatibility, flexibility, and a facile fabrication process are strongly desirable for real-world applications in the realm of wearable healthcare. In this paper, we demonstrate poly(3,4ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)based temperature sensor that has a PEDOT:PSS sensing layer and drop casted on graphene carbon ink based interdigitated electrodes (IDEs), screen printed on a paper substrate. The temperature sensing characteristics were examined in the range of $25^{circ}mathrm{C}$ to $60^{circ}mathrm{C}$. The results show that the sensors have a substantial sensitivity of -0.486 %$/^{circ}mathrm{C}$ in the considered range and exhibit an excellent linear fit with a Adj. R-Square value of 0.96412. Other imperative characteristics like hysteresis analysis (4.08 %), response/recovery time, repeatability (3-cyclic), reproducibility etc. were also studied and discussed. The results show that the sensor is an excellent candidate for temperature sensing in the healthcare sector particularly for monitoring wound healing temperature via smart bandages.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"165 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid and Sensitive nano-material based detection of Phenylketonuria for Point-of-Care Detection in urine 基于纳米材料的尿液中苯丙酮尿症快速灵敏检测方法

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465827

Anvita Y. Gosavi, Sanil R. Kulkarni, Anaya S. Hastak, Madhu H. Choubey, Kiran Andhale, Sakshi Patel, Shahbaz V. Pinjari, Shreeram S. Joglekar, Anup Kale

{"title":"Rapid and Sensitive nano-material based detection of Phenylketonuria for Point-of-Care Detection in urine","authors":"Anvita Y. Gosavi, Sanil R. Kulkarni, Anaya S. Hastak, Madhu H. Choubey, Kiran Andhale, Sakshi Patel, Shahbaz V. Pinjari, Shreeram S. Joglekar, Anup Kale","doi":"10.1109/APSCON60364.2024.10465827","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465827","url":null,"abstract":"Phenylketonuria (PKU) is an inherited amino acid metabolic disorder of an essential amino acid, phenylalanine (Phe). Phe gets accumulated in the blood leading to critical alterations in the central nervous system, brain injury, and neurocognitive disorders if untreated. Diagnosis of PKU in the early phase of life is necessary, as continuous long-term dependency on dietary guidance is needed for treatment. The prognosis of the disease is critical to adjust nutritional requirements. Finding a rapid, point-of-care, and non-invasive diagnosis test for PKU is necessary. This study was performed for the successful detection of biomarkers like Phenylpyruvate and incorporated through paper-based assay using gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs). The goal of developing a miniature cost-effective, time-efficient, rapid paper-based assay for point-of-care detection of Phenylketonuria. Phenylpyruvate detection using colorimetry by complex formation of Phenylpyruvate and FeCl3 with AgNP and AuNP-based reduction of chloroauric acid and silver nitrate resulting in a sensitive Limit of Detection (LOD) as 2mg/dL.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"278 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart Street Light System using Wi-SUN and oneM2M 使用 Wi-SUN 和 oneM2M 的智能路灯系统

2024 IEEE Applied Sensing Conference (APSCON) Pub Date : 2024-01-22 DOI: 10.1109/APSCON60364.2024.10465845

Vaibhav Naware, Aditya Gupta, Ushasree Mogadali, Anuradha Vattem, Aftab M. Hussain

{"title":"Smart Street Light System using Wi-SUN and oneM2M","authors":"Vaibhav Naware, Aditya Gupta, Ushasree Mogadali, Anuradha Vattem, Aftab M. Hussain","doi":"10.1109/APSCON60364.2024.10465845","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465845","url":null,"abstract":"As urbanization continues to accelerate, the demand for energy-efficient and sustainable urban infrastructure has become paramount. Street lights are an elemental part of any city because they facilitate better night visibility, secured roads, and luminescence in public areas. Also, because street lights are present homogeneously on city roads, if they are used for wireless communication, other smart nodes can make use of their backhaul. In this paper, we present a smart street lighting system based on Wi-SUN (Wireless Smart Ubiquitous Network), which offers excellent redundancy owing to its use of a mesh topology. Wi-SUN is based on the IEEE 802.15.4g standard and uses license-free sub-GHz bands. We have used oneM2M as the middleware platform to enable possible interoperability with other smart city data verticals such as weather stations, environmental monitoring, crowd monitoring and so on. The proposed system provides a robust and low-cost method for controlling street lighting in any area, providing IP-addressable lighting. The proposed system additionally aims to provide consistent Wi-SUN coverage for future nodes in the area of deployment.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"250 7","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0