This paper presents a novel technique to enable over-body propagation at 60 GHz. A flexible material has been created that enables the propagation of surface waves around the body without the need of repeaters, high powers or high gain antennas. The solution is wireless and self-redundant, and will facilitate the development of light weight, high bandwidth, and low power, wireless body area networks that could offer improvements for mobile health monitoring applications as well as utility in sports and entertainment industries.
{"title":"A Novel Technique Enabling the Realisation of 60 GHz Body Area Networks","authors":"J. Turner, M. Jessup, K. Tong","doi":"10.1109/BSN.2012.23","DOIUrl":"https://doi.org/10.1109/BSN.2012.23","url":null,"abstract":"This paper presents a novel technique to enable over-body propagation at 60 GHz. A flexible material has been created that enables the propagation of surface waves around the body without the need of repeaters, high powers or high gain antennas. The solution is wireless and self-redundant, and will facilitate the development of light weight, high bandwidth, and low power, wireless body area networks that could offer improvements for mobile health monitoring applications as well as utility in sports and entertainment industries.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132556205","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}
M. Caldara, C. Colleoni, E. Guido, V. Re, G. Rosace, A. Vitali
Wearable electronics is a natural application field of miniaturized sensors, low-power analog and digital devices, microcontrollers and efficient power conversion components, that are able to manage battery power in an optimal way. In the wearable electronics field for biomedical applications, smart textiles are very attractive as sensing devices. They can be fixed with dedicated indicators in order to detect physical quantities which could otherwise be difficult to measure with standard methods. This paper presents the development of a novel platform that using smart textiles, retrieves the information about the pH value by measuring color, which is easily manageable by a readout electronic system. The pH meter consists of a cotton fabric, with a color indicator sol gel fixed on it, in association with an extremely low-power and high-sensitivity electronic system. The device main blocks were fabricated and characterized, with the aim to obtain a wearable sweat pH-meter. The paper discusses the electronic readout innovative features, from the standpoints of performance and sensing properties.
{"title":"Textile Based Colorimetric pH Sensing: A Platform for Future Wearable pH Monitoring","authors":"M. Caldara, C. Colleoni, E. Guido, V. Re, G. Rosace, A. Vitali","doi":"10.1109/BSN.2012.21","DOIUrl":"https://doi.org/10.1109/BSN.2012.21","url":null,"abstract":"Wearable electronics is a natural application field of miniaturized sensors, low-power analog and digital devices, microcontrollers and efficient power conversion components, that are able to manage battery power in an optimal way. In the wearable electronics field for biomedical applications, smart textiles are very attractive as sensing devices. They can be fixed with dedicated indicators in order to detect physical quantities which could otherwise be difficult to measure with standard methods. This paper presents the development of a novel platform that using smart textiles, retrieves the information about the pH value by measuring color, which is easily manageable by a readout electronic system. The pH meter consists of a cotton fabric, with a color indicator sol gel fixed on it, in association with an extremely low-power and high-sensitivity electronic system. The device main blocks were fabricated and characterized, with the aim to obtain a wearable sweat pH-meter. The paper discusses the electronic readout innovative features, from the standpoints of performance and sensing properties.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129880277","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}
Wireless Sensor Networks (WSNs) are particular networks characterized by limited energy and computational resources and, if their transmission range is limited to a person's area, they are known as Body Area Networks (BANs). When two or more BANs are co-located and operate on the same channel, active periods can overlap and transmissions can conflict. This phenomenon, that drastically reduces performances and reliability of BANs, is known as BAN-BAN interference. In order to solve this issue, it is possible to employ techniques such as channel switching. However, channel switching is not suitable if the amount of channels is lower than the amount co-located BANs and, considering that interferences of Zigbee/802.15.4 networks with other technologies like 802.11 or Bluetooth reduce the amount of channels available for communication, an alternative approach is required. This paper introduces a BAN-BAN Interference Reduction System (B2IRS) which reschedules beacon packets in order to avoid active period overlap, reducing the interferences between distinct BANs. This approach is complementary to channel switching since it works with single-channel interferences, that arise when no free channels are available anymore. Experimental results, conducted comparing our methodology with the original IEEE 802.15.4, show that B2IRS is able to effectively reduce BAN-BAN interference, making it possible to almost maintain the same performance and energy consumption of an ideal situation (without interferences).
{"title":"B²IRS: A Technique to Reduce BAN-BAN Interferences in Wireless Sensor Networks","authors":"P. Grassi, V. Rana, I. Beretta, D. Sciuto","doi":"10.1109/BSN.2012.30","DOIUrl":"https://doi.org/10.1109/BSN.2012.30","url":null,"abstract":"Wireless Sensor Networks (WSNs) are particular networks characterized by limited energy and computational resources and, if their transmission range is limited to a person's area, they are known as Body Area Networks (BANs). When two or more BANs are co-located and operate on the same channel, active periods can overlap and transmissions can conflict. This phenomenon, that drastically reduces performances and reliability of BANs, is known as BAN-BAN interference. In order to solve this issue, it is possible to employ techniques such as channel switching. However, channel switching is not suitable if the amount of channels is lower than the amount co-located BANs and, considering that interferences of Zigbee/802.15.4 networks with other technologies like 802.11 or Bluetooth reduce the amount of channels available for communication, an alternative approach is required. This paper introduces a BAN-BAN Interference Reduction System (B2IRS) which reschedules beacon packets in order to avoid active period overlap, reducing the interferences between distinct BANs. This approach is complementary to channel switching since it works with single-channel interferences, that arise when no free channels are available anymore. Experimental results, conducted comparing our methodology with the original IEEE 802.15.4, show that B2IRS is able to effectively reduce BAN-BAN interference, making it possible to almost maintain the same performance and energy consumption of an ideal situation (without interferences).","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115163492","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}
Anstasopoulou Panagiota, Shammas Layal, Hey Stefan
Assessing people's everyday life physical activity by accelerometry has gained a large role in the medical, sports and psychology science research in recent years. Walking is the most common everyday life activity and walking speed can be used as an indicator for human physical activity profile. Energy expenditure is on the other hand often used as a dimension while assessing human activity and is strongly related to people's walking speed. We propose an algorithm, which predicts the gait speed based on body accelerations measured on the right side hip by a tri-axial accelerometer. Based on the gait speed the activity is classified and the energy expenditure is estimated. After applying the algorithm to free living track data (both indoor and outdoor), the results show a good agreement between actual and estimated gait speed and energy expenditure.
{"title":"Assessment of Human Gait Speed and Energy Expenditure Using a Single Triaxial Accelerometer","authors":"Anstasopoulou Panagiota, Shammas Layal, Hey Stefan","doi":"10.1109/BSN.2012.7","DOIUrl":"https://doi.org/10.1109/BSN.2012.7","url":null,"abstract":"Assessing people's everyday life physical activity by accelerometry has gained a large role in the medical, sports and psychology science research in recent years. Walking is the most common everyday life activity and walking speed can be used as an indicator for human physical activity profile. Energy expenditure is on the other hand often used as a dimension while assessing human activity and is strongly related to people's walking speed. We propose an algorithm, which predicts the gait speed based on body accelerations measured on the right side hip by a tri-axial accelerometer. Based on the gait speed the activity is classified and the energy expenditure is estimated. After applying the algorithm to free living track data (both indoor and outdoor), the results show a good agreement between actual and estimated gait speed and energy expenditure.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124830670","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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