This paper presents a conceptual framework, as well as a software platform for assisting the development of sensor enabled music generation using Body Sensor Networks (BSNs). It provides a summary of key considerations that should be taken into account during the development of a motion-generated music application and presents the initial software prototype. A set of mapping rules for real-time BSN-based percussion kit has been proposed and used to demonstrate the practical value of the proposed framework design.
{"title":"UbiBand: A Framework for Music Composition with BSNs","authors":"Sarit Chantasuban, S. Thiemjarus","doi":"10.1109/BSN.2009.9","DOIUrl":"https://doi.org/10.1109/BSN.2009.9","url":null,"abstract":"This paper presents a conceptual framework, as well as a software platform for assisting the development of sensor enabled music generation using Body Sensor Networks (BSNs). It provides a summary of key considerations that should be taken into account during the development of a motion-generated music application and presents the initial software prototype. A set of mapping rules for real-time BSN-based percussion kit has been proposed and used to demonstrate the practical value of the proposed framework design.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862615","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}
W. Gu, Carmen C. Y. Poon, M. Y. Sy, H. K. Leung, Yong-Pei Liang, Yuan-ting Zhang
In this paper, a body sensor network (BSN) system for measuring systolic blood pressure (SBP) by a cuffless approach based on h-Shirt has been developed. Two experiments were conducted on a total of 22 subjects to evaluate the cuffless calibration approach and BSN system respectively. The results showed that using the estimated time and distance travelled by a pulse and a parameter derived from the secondary derivative of PPG, the BSN system can measure SBP completely without using a cuff within 1.2±6.0 mmHg of the reference on 10 healthy subjects aged 21-35 yrs.
{"title":"A h-Shirt-Based Body Sensor Network for Cuffless Calibration and Estimation of Arterial Blood Pressure","authors":"W. Gu, Carmen C. Y. Poon, M. Y. Sy, H. K. Leung, Yong-Pei Liang, Yuan-ting Zhang","doi":"10.1109/BSN.2009.23","DOIUrl":"https://doi.org/10.1109/BSN.2009.23","url":null,"abstract":"In this paper, a body sensor network (BSN) system for measuring systolic blood pressure (SBP) by a cuffless approach based on h-Shirt has been developed. Two experiments were conducted on a total of 22 subjects to evaluate the cuffless calibration approach and BSN system respectively. The results showed that using the estimated time and distance travelled by a pulse and a parameter derived from the secondary derivative of PPG, the BSN system can measure SBP completely without using a cuff within 1.2±6.0 mmHg of the reference on 10 healthy subjects aged 21-35 yrs.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104402","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}
G. Marchand, A. Bourgerette, M. Antonakios, Yvon Colletta, Nadine David, F. Vinet, Coralie Gallis
The dehydration of emergency disaster personnel can lead to severe physiological consequences being able to go until death. The follow-up of the sodium ions concentration in the sweat allows to evaluate this dehydration state in real time by a non invasive method and to react quickly in the case of such an dehydration event. This paper deals with the development of an Ionic Selective Electrode sensor and its transfer on fabrics. The performances were evaluated in terms of sensitivity, selectivity and reproducibility firstly in model solution and then in natural sweat. A portable electronic board connected to the sensing part is described too. This board drives the electrochemical and temperature sensors for analog acquisition and converts measurement data to digital value. Signal processing is implemented on the electronic board in order to correct raw data (gain, offset) and to convert them to ion concentrations.
{"title":"Development of a Dehydration Sensor Integrated on Fabric","authors":"G. Marchand, A. Bourgerette, M. Antonakios, Yvon Colletta, Nadine David, F. Vinet, Coralie Gallis","doi":"10.1109/BSN.2009.29","DOIUrl":"https://doi.org/10.1109/BSN.2009.29","url":null,"abstract":"The dehydration of emergency disaster personnel can lead to severe physiological consequences being able to go until death. The follow-up of the sodium ions concentration in the sweat allows to evaluate this dehydration state in real time by a non invasive method and to react quickly in the case of such an dehydration event. This paper deals with the development of an Ionic Selective Electrode sensor and its transfer on fabrics. The performances were evaluated in terms of sensitivity, selectivity and reproducibility firstly in model solution and then in natural sweat. A portable electronic board connected to the sensing part is described too. This board drives the electrochemical and temperature sensors for analog acquisition and converts measurement data to digital value. Signal processing is implemented on the electronic board in order to correct raw data (gain, offset) and to convert them to ion concentrations.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124012194","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}
We developed and tested the Berkeley Tricorder, a health monitoring device capable of measuring a subject's ECG, EMG, Blood Oxygenation, Respiration (via Bioimpedance), and motion--almost equivalent to the feature set of a hospital bedside patient monitor. Our focus has been a highly integrated design incorporating the radio and all associated circuitry on a single PCB. The device stores data locally on microSD flash and/or transmits via Bluetooth. We will also discuss a strap we have developed which utilizes reusable electrodes for data acquisition as well as a desktop and mobile application for real-time data telemetry. We have evaluated the efficacy of the device in recording ambulatory data from 24 subjects and found the data acquisition relatively free of motion artifacts.
{"title":"The Berkeley Tricorder: Ambulatory Health Monitoring","authors":"Reza Naima, J. Canny","doi":"10.1109/BSN.2009.58","DOIUrl":"https://doi.org/10.1109/BSN.2009.58","url":null,"abstract":"We developed and tested the Berkeley Tricorder, a health monitoring device capable of measuring a subject's ECG, EMG, Blood Oxygenation, Respiration (via Bioimpedance), and motion--almost equivalent to the feature set of a hospital bedside patient monitor. Our focus has been a highly integrated design incorporating the radio and all associated circuitry on a single PCB. The device stores data locally on microSD flash and/or transmits via Bluetooth. We will also discuss a strap we have developed which utilizes reusable electrodes for data acquisition as well as a desktop and mobile application for real-time data telemetry. We have evaluated the efficacy of the device in recording ambulatory data from 24 subjects and found the data acquisition relatively free of motion artifacts.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907954","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}
S. J. Lin, L. Wang, B. Huang, Y. Zhang, X. M. Wu, J. P. Zhao
This paper presented a wearable body sensor network (BSN) that could be potentially employed for dynamic body energy expenditure monitoring. Three compact BSN nodes were deployed at wrist, abdomen and ankle, respectively. Acceleration signals from the multiple body sites were used to calculate a whole body weighted acceleration value. Preliminary results indicated that the standard deviation of the whole body value was smaller than that from any individual body site. There was a strong linear correlation between the whole body weighted acceleration value and the speed, but this correlation was highly subject-dependant. The pilot study presented the first several steps towards a pervasive approach for body energy expenditure monitoring.
{"title":"A Pilot Study on BSN-Based Ubiquitous Energy Expenditure Monitoring","authors":"S. J. Lin, L. Wang, B. Huang, Y. Zhang, X. M. Wu, J. P. Zhao","doi":"10.1109/BSN.2009.56","DOIUrl":"https://doi.org/10.1109/BSN.2009.56","url":null,"abstract":"This paper presented a wearable body sensor network (BSN) that could be potentially employed for dynamic body energy expenditure monitoring. Three compact BSN nodes were deployed at wrist, abdomen and ankle, respectively. Acceleration signals from the multiple body sites were used to calculate a whole body weighted acceleration value. Preliminary results indicated that the standard deviation of the whole body value was smaller than that from any individual body site. There was a strong linear correlation between the whole body weighted acceleration value and the speed, but this correlation was highly subject-dependant. The pilot study presented the first several steps towards a pervasive approach for body energy expenditure monitoring.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259716","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}
Myung-kyung Suh, Mahsan Rofouei, A. Nahapetian, W. Kaiser, M. Sarrafzadeh
Interval training consists of interleaving high intensity exercises with rest periods. This training method is a well known exercise protocol which helps strengthen and improve one’s cardiovascular fitness. However, there is no known method for formulating and tailoring an optimized interval training protocol for a specific individual which maximizes the amount of work done while limiting fatigue. But by using data mining schemes with various attributes, conditions, and data gathered from an individual’s exercise session, we are able to efficiently formulate an optimized interval training method for an individual. Recent advances in wireless wearable sensors and smart phones have made available a new generation of fitness monitoring systems. With accelerometers embedded in an iPhone, a Bluetooth pulse oximeter, and the Weka data mining tool, we are able to formulate the optimized interval training protocols, which can increase the amount of calorie burned up to 29.54%, compared with the modified Tabata interval training protocol.
{"title":"Optimizing Interval Training Protocols Using Data Mining Decision Trees","authors":"Myung-kyung Suh, Mahsan Rofouei, A. Nahapetian, W. Kaiser, M. Sarrafzadeh","doi":"10.1109/BSN.2009.17","DOIUrl":"https://doi.org/10.1109/BSN.2009.17","url":null,"abstract":"Interval training consists of interleaving high intensity exercises with rest periods. This training method is a well known exercise protocol which helps strengthen and improve one’s cardiovascular fitness. However, there is no known method for formulating and tailoring an optimized interval training protocol for a specific individual which maximizes the amount of work done while limiting fatigue. But by using data mining schemes with various attributes, conditions, and data gathered from an individual’s exercise session, we are able to efficiently formulate an optimized interval training method for an individual. Recent advances in wireless wearable sensors and smart phones have made available a new generation of fitness monitoring systems. With accelerometers embedded in an iPhone, a Bluetooth pulse oximeter, and the Weka data mining tool, we are able to formulate the optimized interval training protocols, which can increase the amount of calorie burned up to 29.54%, compared with the modified Tabata interval training protocol.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124661393","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}
A method to fabricate circuits on the cloth, planar fashionable circuit board (P-FCB), is proposed. And its applications such as fabric passive elements, user I/O interface, and the fabric package are introduced. The electrical and the mechanical characteristic analysis of P-FCB and the system integration methodology establishment improve the system performance and productivity. A complete wearable system is implemented by P-FCB technology for the continuous sweat monitoring and the RFID tag antenna applications.
{"title":"A Wearable Fabric Computer by Planar-Fashionable Circuit Board Technique","authors":"Hyejung Kim, Yongsang Kim, Binhee Kim, H. Yoo","doi":"10.1109/BSN.2009.51","DOIUrl":"https://doi.org/10.1109/BSN.2009.51","url":null,"abstract":"A method to fabricate circuits on the cloth, planar fashionable circuit board (P-FCB), is proposed. And its applications such as fabric passive elements, user I/O interface, and the fabric package are introduced. The electrical and the mechanical characteristic analysis of P-FCB and the system integration methodology establishment improve the system performance and productivity. A complete wearable system is implemented by P-FCB technology for the continuous sweat monitoring and the RFID tag antenna applications.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131195729","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}
R. Bajcsy, A. Borri, M. D. Benedetto, A. Giani, C. Tomlin
This work addresses the problem of detecting and classifying the interaction between two subjects. While the use of Wireless Sensor Networks (WSN) for human action detection has been widely investigated, the use of this technology for detecting actions that involve multiple subjects has not been explored yet. We explain what we mean for interaction between subjects and we also give the motivation behind this research. Our approach is then presented wherein we perform classification in a particular case study.
{"title":"Classification of Physical Interactions between Two Subjects","authors":"R. Bajcsy, A. Borri, M. D. Benedetto, A. Giani, C. Tomlin","doi":"10.1109/BSN.2009.44","DOIUrl":"https://doi.org/10.1109/BSN.2009.44","url":null,"abstract":"This work addresses the problem of detecting and classifying the interaction between two subjects. While the use of Wireless Sensor Networks (WSN) for human action detection has been widely investigated, the use of this technology for detecting actions that involve multiple subjects has not been explored yet. We explain what we mean for interaction between subjects and we also give the motivation behind this research. Our approach is then presented wherein we perform classification in a particular case study.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121191607","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}
Damien Connaghan, Sarah Hughes, Gregory C. May, Philip Kelly, Ciarán Ó Conaire, N. O’Connor, Donal O'Gorman, A. Smeaton, N. Moyna
In this paper we describe our work on creating a multimodal sensing platform for providing feedback to tennis coaches and players. The platform includes a fixed installation around a tennis court consisting of a video camera network and a localisation system as well as wearable sensing technology deployed to individual athletes. We describe the various components of this platform and explain how we can capture synchronised multi-modal sensor data streams for games or training sessions. We then describe the content-based retrieval system we are building to facilitate the development of novel coaching tools. We provide some examples of the queries that the system can support, where these queries are chosen to be suitably expressive so as to reflect a coach’s complex information needs regarding tennis-related performance factors.
{"title":"A Sensing Platform for Physiological and Contextual Feedback to Tennis Athletes","authors":"Damien Connaghan, Sarah Hughes, Gregory C. May, Philip Kelly, Ciarán Ó Conaire, N. O’Connor, Donal O'Gorman, A. Smeaton, N. Moyna","doi":"10.1109/BSN.2009.63","DOIUrl":"https://doi.org/10.1109/BSN.2009.63","url":null,"abstract":"In this paper we describe our work on creating a multimodal sensing platform for providing feedback to tennis coaches and players. The platform includes a fixed installation around a tennis court consisting of a video camera network and a localisation system as well as wearable sensing technology deployed to individual athletes. We describe the various components of this platform and explain how we can capture synchronised multi-modal sensor data streams for games or training sessions. We then describe the content-based retrieval system we are building to facilitate the development of novel coaching tools. We provide some examples of the queries that the system can support, where these queries are chosen to be suitably expressive so as to reflect a coach’s complex information needs regarding tennis-related performance factors.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073625","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}
Continuous monitoring of internal bleeding in tissue is essential for assessment and treatment of medical conditions. In this study we present a new body sensor for diagnosis of internal tissue bleeding based on contact multi-frequency electromagnetic inductive measurements of the tissue. This contributes to the existing family of body network sensors. This sensor can be used in emergency medicine in the field, in a hospital, or during daily life for patients at risk of bleeding. Unlike other sensors that detect bleeding, this sensor is portable, low cost, non-invasive and does not require galvanic coupling between the electrode and the tissue under measurement. Our study includes description of the new body sensor, criteria for data processing, basic diagnostic algorithms and calibration techniques. We show feasibility of this new sensor with a sensor prototype and diagnosis of an experimental simulation of internal bleeding and hypoperfusion conditions in the brain.
{"title":"New Wearable Body Sensor for Continuous Diagnosis of Internal Tissue Bleeding","authors":"Gaddi Blumrosen, C. A. González, B. Rubinsky","doi":"10.1109/BSN.2009.15","DOIUrl":"https://doi.org/10.1109/BSN.2009.15","url":null,"abstract":"Continuous monitoring of internal bleeding in tissue is essential for assessment and treatment of medical conditions. In this study we present a new body sensor for diagnosis of internal tissue bleeding based on contact multi-frequency electromagnetic inductive measurements of the tissue. This contributes to the existing family of body network sensors. This sensor can be used in emergency medicine in the field, in a hospital, or during daily life for patients at risk of bleeding. Unlike other sensors that detect bleeding, this sensor is portable, low cost, non-invasive and does not require galvanic coupling between the electrode and the tissue under measurement. Our study includes description of the new body sensor, criteria for data processing, basic diagnostic algorithms and calibration techniques. We show feasibility of this new sensor with a sensor prototype and diagnosis of an experimental simulation of internal bleeding and hypoperfusion conditions in the brain.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132068348","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}
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