... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献
Pub Date : 2020-01-01DOI: 10.5220/0008968400410051
T. Araújo, L. Silva, A. Moreira
: Atmospheric pressure sensors are important devices for several applications, including environment monitoring and indoor positioning tracking systems. This paper proposes a method to enhance the quality of data obtained from low-cost atmospheric pressure sensors using a machine learning algorithm to predict the error behaviour. By using the extremely Randomized Trees algorithm, a model was trained with a reference sensor data for temperature and humidity and with all low-cost sensor datasets that were co-located into an artificial climatic chamber that simulated different climatic situations. Fifteen low-cost environmental sensor units, composed by five different models, were considered. They measure – together – temperature, relative humidity and atmospheric pressure. In the evaluation, three categories of output metrics were considered: raw; trained by the independent sensor data; and trained by the low-cost sensor data. The model trained by the reference sensor was able to reduce the Mean Absolute Error (MAE) between atmospheric pressure sensor pairs by up to 67%, while the same ensemble trained with all low-cost data was able to reduce the MAE by up to 98%. These results suggest that low-cost environmental sensors can be a good asset if their data are properly processed.
{"title":"Deviation Prediction and Correction on Low-Cost Atmospheric Pressure Sensors using a Machine-Learning Algorithm","authors":"T. Araújo, L. Silva, A. Moreira","doi":"10.5220/0008968400410051","DOIUrl":"https://doi.org/10.5220/0008968400410051","url":null,"abstract":": Atmospheric pressure sensors are important devices for several applications, including environment monitoring and indoor positioning tracking systems. This paper proposes a method to enhance the quality of data obtained from low-cost atmospheric pressure sensors using a machine learning algorithm to predict the error behaviour. By using the extremely Randomized Trees algorithm, a model was trained with a reference sensor data for temperature and humidity and with all low-cost sensor datasets that were co-located into an artificial climatic chamber that simulated different climatic situations. Fifteen low-cost environmental sensor units, composed by five different models, were considered. They measure – together – temperature, relative humidity and atmospheric pressure. In the evaluation, three categories of output metrics were considered: raw; trained by the independent sensor data; and trained by the low-cost sensor data. The model trained by the reference sensor was able to reduce the Mean Absolute Error (MAE) between atmospheric pressure sensor pairs by up to 67%, while the same ensemble trained with all low-cost data was able to reduce the MAE by up to 98%. These results suggest that low-cost environmental sensors can be a good asset if their data are properly processed.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"82 5 Pt 1 1","pages":"41-51"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77520616","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}
Pub Date : 2020-01-01DOI: 10.5220/0009098701290135
Dimitri Kraft, R. Bader, G. Bieber
Natural and artificial joints of a human body are emitting vibration and sound during the movement. The sound and vibration pattern of a joint is characteristic and changes due to damage, uneven tread wear, injuries, or other influences. Hence, the vibration and sound analysis enables an estimation of the joint condition. This kind of analysis, vibroarthrography (VAG), allows the analysis of diseases like arthritis or osteoporosis and might determine trauma, inflammation, or misalignment. The classification of the vibration and sound data is very challenging and needs a comprehensive annotated data base. Current existing data bases are very limited and insufficient for deep learning or artificial intelligent approaches. In this paper, we describe a new concept of the design of a vibroarthrography system using a sensor network. We discuss the possible improvements and we give an outlook for the future work and application fields of VAG.
{"title":"Enhancing Vibroarthrography by using Sensor Fusion","authors":"Dimitri Kraft, R. Bader, G. Bieber","doi":"10.5220/0009098701290135","DOIUrl":"https://doi.org/10.5220/0009098701290135","url":null,"abstract":"Natural and artificial joints of a human body are emitting vibration and sound during the movement. The sound and vibration pattern of a joint is characteristic and changes due to damage, uneven tread wear, injuries, or other influences. Hence, the vibration and sound analysis enables an estimation of the joint condition. This kind of analysis, vibroarthrography (VAG), allows the analysis of diseases like arthritis or osteoporosis and might determine trauma, inflammation, or misalignment. The classification of the vibration and sound data is very challenging and needs a comprehensive annotated data base. Current existing data bases are very limited and insufficient for deep learning or artificial intelligent approaches. In this paper, we describe a new concept of the design of a vibroarthrography system using a sensor network. We discuss the possible improvements and we give an outlook for the future work and application fields of VAG.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"33 1","pages":"129-135"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74185375","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}
Pub Date : 2020-01-01DOI: 10.5220/0008942900230028
M. Götten, S. Lochmann, A. Ahrens, C. Benavente-Peces
Massive optical sensor networks gained a lot of attention in recent years. They offer new advances in the fields of smart structures and health monitoring. All serial optic al sensor networks rely on multiplexing techniques that provide huge amounts of sensors in a single optical fiber . Wavelength-division multiplex (WDM) which has been established in many applications, is restricted to the spectral width of the used light source that needs to be shared by several non-overlapping fiber-Bragg-g ratin (FBG) spectra. Time-division multiplex (TDM) uses short impulses and relies on different sensor rou nd trip delays to distinguish each single FBG. These short impulses and long round trip times lead to a low si gnal-to-noise ratio (SNR). Optical frequencydomain reflectometry (OFDR) offers a high spatial resolutio n of FBGs but only within a short fiber length. This contribution deals with a code-division multiplex (CD M) interrogation technique that provides numerous sensors in a single optical fiber, a better SNR, and a long rang e of distributed sensing points. It requires codes with good autocorrelation behavior which is characte ized by certain criteria. The detectable criteria are limited which narrows significantly a search for best pos sible codes for the interrogation system. In this contribution, practical implementation limits such as the rigger timing and the achievable SNR are studied. Based on the introduced SNR definitions for CDM and WDM system , a direct comparison is possible and it shows the superiority of the proposed CDM scheme. A networ k with 25 sensors operating at the same wavelength can provide a 2 .67 dB improvement compared to WDM
{"title":"A Robust Serial FBG Sensor Network with CDM Interrogation Allowing Overlapping Spectra","authors":"M. Götten, S. Lochmann, A. Ahrens, C. Benavente-Peces","doi":"10.5220/0008942900230028","DOIUrl":"https://doi.org/10.5220/0008942900230028","url":null,"abstract":"Massive optical sensor networks gained a lot of attention in recent years. They offer new advances in the fields of smart structures and health monitoring. All serial optic al sensor networks rely on multiplexing techniques that provide huge amounts of sensors in a single optical fiber . Wavelength-division multiplex (WDM) which has been established in many applications, is restricted to the spectral width of the used light source that needs to be shared by several non-overlapping fiber-Bragg-g ratin (FBG) spectra. Time-division multiplex (TDM) uses short impulses and relies on different sensor rou nd trip delays to distinguish each single FBG. These short impulses and long round trip times lead to a low si gnal-to-noise ratio (SNR). Optical frequencydomain reflectometry (OFDR) offers a high spatial resolutio n of FBGs but only within a short fiber length. This contribution deals with a code-division multiplex (CD M) interrogation technique that provides numerous sensors in a single optical fiber, a better SNR, and a long rang e of distributed sensing points. It requires codes with good autocorrelation behavior which is characte ized by certain criteria. The detectable criteria are limited which narrows significantly a search for best pos sible codes for the interrogation system. In this contribution, practical implementation limits such as the rigger timing and the achievable SNR are studied. Based on the introduced SNR definitions for CDM and WDM system , a direct comparison is possible and it shows the superiority of the proposed CDM scheme. A networ k with 25 sensors operating at the same wavelength can provide a 2 .67 dB improvement compared to WDM","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"49 1","pages":"23-28"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80122022","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}
Pub Date : 2020-01-01DOI: 10.5220/0008869500710077
O. P. Angwech, A. Alfa, B. T. Maharaj
: A model that considers energy storage and usage in data transmission in Wireless Sensor Network applications is proposed. The system is modelled as a Geo/Geo/1/k system and analysed using standard finite Markov chain model tools. The stationary distribution of the queue length is obtained. In the model, the harvested energy is stored in a buffer and used as required by the packets. In addition to energy usage by the packets, leakage of energy is captured at each state. A situation that involves high and low priority data transmission is also captured in the model. For evaluation, the effects of the system parameters on the performance measures are analysed. The results show that the model accurately captures the energy usage and it can be used for the management of harvested energy in Wireless Sensor Networks.
{"title":"Analysing Usage of Harvested Energy in Wireless Sensor Networks: A Geo/Geo/1/K Approach","authors":"O. P. Angwech, A. Alfa, B. T. Maharaj","doi":"10.5220/0008869500710077","DOIUrl":"https://doi.org/10.5220/0008869500710077","url":null,"abstract":": A model that considers energy storage and usage in data transmission in Wireless Sensor Network applications is proposed. The system is modelled as a Geo/Geo/1/k system and analysed using standard finite Markov chain model tools. The stationary distribution of the queue length is obtained. In the model, the harvested energy is stored in a buffer and used as required by the packets. In addition to energy usage by the packets, leakage of energy is captured at each state. A situation that involves high and low priority data transmission is also captured in the model. For evaluation, the effects of the system parameters on the performance measures are analysed. The results show that the model accurately captures the energy usage and it can be used for the management of harvested energy in Wireless Sensor Networks.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"56 1","pages":"71-77"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84272961","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}
Pub Date : 2020-01-01DOI: 10.5220/0008987501130120
Nao Akayama, Daisaku Arita, Atsushi Shimada, R. Taniguchi
: Semi-automated sensing and visualization of conditions and activities in farm fields have been actively pursued in recent years. There are three types of agricultural information: sensor information, farm work information, and plant biological information. Measuring and visualizing these agricultural information can provide valuable support to farm managers. In this study, we focus on sensor information and farm work information and develop a web application named SALATA (Sharing and AccumuLating Agricultural TAcit knowledge) that collects and shares sensor information and farm work information collected in farm fields and correlates the information in time series. SALATA need to have intuitive operation and quick response in order that people of various ages will use it on a daily basis. Therefore, there are two primary pages: the main page for visualizing simple information quickly and the analytical page for visualizing multiple pieces of information on one page. Usability evaluation experiments are performed, showing that SALATA can be operated intuitively and respond quickly.
近年来，农业领域条件和活动的半自动化传感和可视化得到了积极的发展。农业信息有三种类型:传感器信息、农业工作信息和植物生物信息。测量和可视化这些农业信息可以为农场管理者提供有价值的支持。在本研究中，我们以传感器信息和农活信息为研究对象，开发了一个名为SALATA (Sharing and accumulation Agricultural TAcit knowledge)的web应用程序，用于收集和共享田间采集的传感器信息和农活信息，并将信息进行时间序列关联。SALATA需要有直观的操作和快速的反应，以便不同年龄的人每天都能使用它。因此，有两个主要页面:用于快速可视化简单信息的主页和用于在一个页面上可视化多个信息的分析页面。进行了可用性评估实验，结果表明SALATA操作直观，响应速度快。
{"title":"SALATA: A Web Application for Visualizing Sensor Information in Farm Fields","authors":"Nao Akayama, Daisaku Arita, Atsushi Shimada, R. Taniguchi","doi":"10.5220/0008987501130120","DOIUrl":"https://doi.org/10.5220/0008987501130120","url":null,"abstract":": Semi-automated sensing and visualization of conditions and activities in farm fields have been actively pursued in recent years. There are three types of agricultural information: sensor information, farm work information, and plant biological information. Measuring and visualizing these agricultural information can provide valuable support to farm managers. In this study, we focus on sensor information and farm work information and develop a web application named SALATA (Sharing and AccumuLating Agricultural TAcit knowledge) that collects and shares sensor information and farm work information collected in farm fields and correlates the information in time series. SALATA need to have intuitive operation and quick response in order that people of various ages will use it on a daily basis. Therefore, there are two primary pages: the main page for visualizing simple information quickly and the analytical page for visualizing multiple pieces of information on one page. Usability evaluation experiments are performed, showing that SALATA can be operated intuitively and respond quickly.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"217 1","pages":"113-120"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77327537","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}
Pub Date : 2020-01-01DOI: 10.5220/0008869600780084
Suleyman Alpay Aslangul
The Border Situational Awareness may consist of many different features. Mainly, these features focus on detecting intrusion activities. New generation security systems are collecting important amount of data obtained from sensors. In general, the alarm confirmation mechanism is visual identification using cameras and Video Management Systems. On the other hand, this approach may not be enough to identify an invisible tunnel digging activity underground for trespassing the border. This paper is suggesting a new method to detect tunnels by using statically filtered alarm data and DBSCAN algorithm. In this particular case MIDAS® Fiber Optic based Distributed Acoustic Sensor (DAS) system is used, which is designed by ASELSAN Inc. The proposed approach is evaluated and positive results are seen on diverse areas of the Turkish borders.
{"title":"Detecting Tunnels for Border Security based on Fiber Optical Distributed Acoustic Sensor Data using DBSCAN","authors":"Suleyman Alpay Aslangul","doi":"10.5220/0008869600780084","DOIUrl":"https://doi.org/10.5220/0008869600780084","url":null,"abstract":"The Border Situational Awareness may consist of many different features. Mainly, these features focus on detecting intrusion activities. New generation security systems are collecting important amount of data obtained from sensors. In general, the alarm confirmation mechanism is visual identification using cameras and Video Management Systems. On the other hand, this approach may not be enough to identify an invisible tunnel digging activity underground for trespassing the border. This paper is suggesting a new method to detect tunnels by using statically filtered alarm data and DBSCAN algorithm. In this particular case MIDAS® Fiber Optic based Distributed Acoustic Sensor (DAS) system is used, which is designed by ASELSAN Inc. The proposed approach is evaluated and positive results are seen on diverse areas of the Turkish borders.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"12 1","pages":"78-84"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78683723","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}
Pub Date : 2020-01-01DOI: 10.5220/0009368201770181
D. Polese, F. Maita, I. Lucarini, A. Ferraro, A. Luca, D. Cannatà, L. Maiolo
Plants own a complex way to communicate with each other based on the exchange of chemical and electrical signals. Indeed, plants are capable of creating extensive communication networks thus warning each other of the presence of pests. In response, plants trigger natural strategy against the infestation. The main tool used by plants for exchanging information is the emission and detection of specific volatile organic compounds in air. To this end, monitoring these compounds can be crucial to reveal the state of health of a cultivation far before visual symptoms arise. In this work, we present a wireless sensor network where each node is based on highly sensitive zinc oxide nanostructures enabling the detection and the discrimination of several chemical gases such as CO, CO2, NO, NO2, CH4, etc. The response of each sensor is tuned by using excimer laser annealing procedure, a technique that changes the electrical and morphological properties of the sensing material. This wireless sensor network can be an appealing solution to capture signals coming from the plants without the usage of bulky and expensive equipment.
植物拥有一种基于化学和电子信号交换的复杂方式来相互交流。事实上，植物能够建立广泛的通信网络，从而互相警告害虫的存在。作为回应，植物会触发对抗虫害的自然策略。植物交换信息的主要工具是空气中特定挥发性有机化合物的排放和检测。为此，监测这些化合物对于在视觉症状出现之前揭示种植的健康状况至关重要。在这项工作中，我们提出了一个无线传感器网络，其中每个节点都基于高灵敏度的氧化锌纳米结构，能够检测和识别几种化学气体，如CO, CO2, NO, NO2, CH4等。每个传感器的响应通过使用准分子激光退火程序来调整，这是一种改变传感材料的电学和形态特性的技术。这种无线传感器网络是一种很有吸引力的解决方案，可以在不使用笨重和昂贵设备的情况下捕获来自植物的信号。
{"title":"A Wireless Sensor Network based on Laser-annealed ZnO Nanostructures for Advance Monitoring in Precise Agriculture","authors":"D. Polese, F. Maita, I. Lucarini, A. Ferraro, A. Luca, D. Cannatà, L. Maiolo","doi":"10.5220/0009368201770181","DOIUrl":"https://doi.org/10.5220/0009368201770181","url":null,"abstract":"Plants own a complex way to communicate with each other based on the exchange of chemical and electrical signals. Indeed, plants are capable of creating extensive communication networks thus warning each other of the presence of pests. In response, plants trigger natural strategy against the infestation. The main tool used by plants for exchanging information is the emission and detection of specific volatile organic compounds in air. To this end, monitoring these compounds can be crucial to reveal the state of health of a cultivation far before visual symptoms arise. In this work, we present a wireless sensor network where each node is based on highly sensitive zinc oxide nanostructures enabling the detection and the discrimination of several chemical gases such as CO, CO2, NO, NO2, CH4, etc. The response of each sensor is tuned by using excimer laser annealing procedure, a technique that changes the electrical and morphological properties of the sensing material. This wireless sensor network can be an appealing solution to capture signals coming from the plants without the usage of bulky and expensive equipment.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"8 1","pages":"177-181"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73523707","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}
Pub Date : 2020-01-01DOI: 10.5220/0008911900850092
Fabian Meyer, Michael Schäfer
Controlling machine access in Fablabs and makerspaces is a crucial task. Different types of machines require different types of briefings. This is especially important to avoid damage and injury. Controlling access automatically is thereby desirable, as it is otherwise labor-intensive. Currently available software to organize Fablabs and makerspaces have either a rather high price tag or lacking the functionality for automated access control. Self-developed hardware is also quite common but often, due to regulatory constraints, not allowed to operate on mains. Also, there is a wide range of home automation devices that are certified for switching mains voltage. We have developed a prototypical system that makes these devices available for use in the access control of Fablabs and Makerspaces. We have identified openHAB as a useful solution for the abstraction of devices from various manufacturers.
{"title":"Building an Open Source Access Control System for Fablabs based on odoo and openHAB","authors":"Fabian Meyer, Michael Schäfer","doi":"10.5220/0008911900850092","DOIUrl":"https://doi.org/10.5220/0008911900850092","url":null,"abstract":"Controlling machine access in Fablabs and makerspaces is a crucial task. Different types of machines require different types of briefings. This is especially important to avoid damage and injury. Controlling access automatically is thereby desirable, as it is otherwise labor-intensive. Currently available software to organize Fablabs and makerspaces have either a rather high price tag or lacking the functionality for automated access control. Self-developed hardware is also quite common but often, due to regulatory constraints, not allowed to operate on mains. Also, there is a wide range of home automation devices that are certified for switching mains voltage. We have developed a prototypical system that makes these devices available for use in the access control of Fablabs and Makerspaces. We have identified openHAB as a useful solution for the abstraction of devices from various manufacturers.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"13 1","pages":"85-92"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87381019","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}
Pub Date : 2019-05-01Epub Date: 2019-07-25DOI: 10.1109/bsn.2019.8771097
Gregory Ciccarelli, Daryush Mehta, Andrew Ortiz, Jarrad Van Stan, Laura Toles, Katherine Marks, Robert Hillman, Thomas Quatieri
We investigate the connection between the autonomic nervous system and the voice in patients with vocal hyperfunction and healthy-control groups. We present a methodology and preliminary results of two multi-modal measurement streams that capture this relationship. Subjects were instrumented for daily, ambulatory collection of their voice and wrist-based electrodermal activity. Measures of vocal function (e.g., fundamental frequency) were computed, as well as measures of autonomic function (e.g., skin conductance response). Spearman correlation coefficients were calculated to measure the relationship between vocal and autonomic function over sliding windows throughout each observation day. We found preliminary evidence that patients with a subtype of vocal hyperfunction (non-phonotraumatic vocal hyperfunction) exhibit a coupling between the autonomic nervous system and the vocal system. Understanding how the autonomic nervous system interacts with the voice may provide new insights into the etiology/pathophysiology of vocal hyperfunction and improve prevention, diagnosis and treatment of these disorders.
{"title":"Correlating an Ambulatory Voice Measure to Electrodermal Activity in Patients with Vocal Hyperfunction.","authors":"Gregory Ciccarelli, Daryush Mehta, Andrew Ortiz, Jarrad Van Stan, Laura Toles, Katherine Marks, Robert Hillman, Thomas Quatieri","doi":"10.1109/bsn.2019.8771097","DOIUrl":"https://doi.org/10.1109/bsn.2019.8771097","url":null,"abstract":"<p><p>We investigate the connection between the autonomic nervous system and the voice in patients with vocal hyperfunction and healthy-control groups. We present a methodology and preliminary results of two multi-modal measurement streams that capture this relationship. Subjects were instrumented for daily, ambulatory collection of their voice and wrist-based electrodermal activity. Measures of vocal function (e.g., fundamental frequency) were computed, as well as measures of autonomic function (e.g., skin conductance response). Spearman correlation coefficients were calculated to measure the relationship between vocal and autonomic function over sliding windows throughout each observation day. We found preliminary evidence that patients with a subtype of vocal hyperfunction (non-phonotraumatic vocal hyperfunction) exhibit a coupling between the autonomic nervous system and the vocal system. Understanding how the autonomic nervous system interacts with the voice may provide new insights into the etiology/pathophysiology of vocal hyperfunction and improve prevention, diagnosis and treatment of these disorders.</p>","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2019 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/bsn.2019.8771097","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39189247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-02DOI: 10.5220/0007394800470057
Marcin Lenart, A. Bielecki, Marie-Jeanne Lesot, Teodora Petrisor, Adrien Revault d'Allonnes
Sensors constitute information providers which are subject to imperfections and assessing the quality of their outputs, in particular the trust that can be put in them, is a crucial task. Indeed, timely recognising a low-trust sensor output can greatly improve the decision making process at the fusion level, help solving safety issues and avoiding expensive operations such as either unnecessary or delayed maintenance. In this framework, this paper considers the question of trust dynamics, i.e. its temporal evolution with respect to the information flow. The goal is to increase the user understanding of the trust computation model, as well as to give hints about how to refine the model and set its parameters according to specific needs. Considering a trust computation model based on three dimensions, namely reliability, likelihood and credibility, the paper proposes a protocol for the evaluation of the scoring method, in the case when no ground truth is available, using realistic simulated data to analyse the trust evolution at the local level of a single sensor. After a visual and formal analysis, the scoring method is applied to real data at a global level to observe interactions and dependencies among
{"title":"Trust Dynamics: A Case-study on Railway Sensors","authors":"Marcin Lenart, A. Bielecki, Marie-Jeanne Lesot, Teodora Petrisor, Adrien Revault d'Allonnes","doi":"10.5220/0007394800470057","DOIUrl":"https://doi.org/10.5220/0007394800470057","url":null,"abstract":"Sensors constitute information providers which are subject to imperfections and assessing the quality of their outputs, in particular the trust that can be put in them, is a crucial task. Indeed, timely recognising a low-trust sensor output can greatly improve the decision making process at the fusion level, help solving safety issues and avoiding expensive operations such as either unnecessary or delayed maintenance. In this framework, this paper considers the question of trust dynamics, i.e. its temporal evolution with respect to the information flow. The goal is to increase the user understanding of the trust computation model, as well as to give hints about how to refine the model and set its parameters according to specific needs. Considering a trust computation model based on three dimensions, namely reliability, likelihood and credibility, the paper proposes a protocol for the evaluation of the scoring method, in the case when no ground truth is available, using realistic simulated data to analyse the trust evolution at the local level of a single sensor. After a visual and formal analysis, the scoring method is applied to real data at a global level to observe interactions and dependencies among","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"34 1","pages":"47-57"},"PeriodicalIF":0.0,"publicationDate":"2019-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85409094","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}
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks
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