{"title":"Session details: Paper Session 1","authors":"Kuldeep Yadav","doi":"10.1145/3254078","DOIUrl":"https://doi.org/10.1145/3254078","url":null,"abstract":"","PeriodicalId":292301,"journal":{"name":"Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems","volume":"7 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116789848","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}
E. Hippocrate, H. Suwa, Yutaka Arakawa, K. Yasumoto
In this era of Internet of Things (IoT), the healthcare system is one of the fields that has received a lot of attention from researchers. Daily-life things and objects such as mobile phones, watches, or shoes are coupled with sensors to make health systems for monitoring, and managing people heath. Recently, some methods have been focused on using food photography and associated image-processing techniques to assess food nutrients to control calorie intake. However, one of the critical issues in such image-based dietary assessment tools is the accuracy and consistent estimation of the sizes and weights of the food portion in the image. In this paper, we propose a system that uses eating tools (cutlery) such as spoon, fork or chopsticks to measure the weight of a food in a picture, in order to estimate the calorie content of that food, for diet assessment and obesity prevention. Our system requires the user to take only a single image from the top with the cutlery in the picture. Using several image processing techniques and the EXIF metadata of the image, the system automatically estimates the diameter and the height of the food container and derives the food volume. Then, given the food type, the system combines the information about the container diameter, height and the food type to provide the weight of the food in the image. Our experiments show tenable results from the system which achieved an average relative error rate of 6.87% for the weight estimation, over the testing food images.
{"title":"Food Weight Estimation using Smartphone and Cutlery","authors":"E. Hippocrate, H. Suwa, Yutaka Arakawa, K. Yasumoto","doi":"10.1145/2933566.2933568","DOIUrl":"https://doi.org/10.1145/2933566.2933568","url":null,"abstract":"In this era of Internet of Things (IoT), the healthcare system is one of the fields that has received a lot of attention from researchers. Daily-life things and objects such as mobile phones, watches, or shoes are coupled with sensors to make health systems for monitoring, and managing people heath. Recently, some methods have been focused on using food photography and associated image-processing techniques to assess food nutrients to control calorie intake. However, one of the critical issues in such image-based dietary assessment tools is the accuracy and consistent estimation of the sizes and weights of the food portion in the image. In this paper, we propose a system that uses eating tools (cutlery) such as spoon, fork or chopsticks to measure the weight of a food in a picture, in order to estimate the calorie content of that food, for diet assessment and obesity prevention. Our system requires the user to take only a single image from the top with the cutlery in the picture. Using several image processing techniques and the EXIF metadata of the image, the system automatically estimates the diameter and the height of the food container and derives the food volume. Then, given the food type, the system combines the information about the container diameter, height and the food type to provide the weight of the food in the image. Our experiments show tenable results from the system which achieved an average relative error rate of 6.87% for the weight estimation, over the testing food images.","PeriodicalId":292301,"journal":{"name":"Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115749186","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}
It is our great pleasure to welcome you to the IoTofHealth'16 workshop co-located with The 14th ACM International Conference on Mobile Systems, Applications, and Services. Internet of things (IoT) enabled healthcare segment is expected to hit $117 billion by 2020. This workshop focuses on bringing to the fore the key research challenges, systems, devices, and methods to enable the "IoT of Health" vision. The workshop will include discussions on different perspectives emerging from designing low-level sensors/devices, inference/analytics on sensing data, along with intelligent persuasive interventions/feedback techniques. The call for papers attracted submissions from many countries including India, Japan, Singapore, and the United States. The final workshop program consists of selected papers & posters, invited talks, and the keynote talks. The selected workshop papers and invited talks will provide an understanding of the state-of-art technologies in realizing "IoT of Health" vision whereas the keynote talks will provide better understanding of its future w.r.t. academic research and industrial challenges.
{"title":"Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems","authors":"Kuldeep Yadav, Hwee-Pink Tan, S. Eswaran","doi":"10.1145/2933566","DOIUrl":"https://doi.org/10.1145/2933566","url":null,"abstract":"It is our great pleasure to welcome you to the IoTofHealth'16 workshop co-located with The 14th ACM International Conference on Mobile Systems, Applications, and Services. Internet of things (IoT) enabled healthcare segment is expected to hit $117 billion by 2020. This workshop focuses on bringing to the fore the key research challenges, systems, devices, and methods to enable the \"IoT of Health\" vision. The workshop will include discussions on different perspectives emerging from designing low-level sensors/devices, inference/analytics on sensing data, along with intelligent persuasive interventions/feedback techniques. \u0000 \u0000The call for papers attracted submissions from many countries including India, Japan, Singapore, and the United States. The final workshop program consists of selected papers & posters, invited talks, and the keynote talks. The selected workshop papers and invited talks will provide an understanding of the state-of-art technologies in realizing \"IoT of Health\" vision whereas the keynote talks will provide better understanding of its future w.r.t. academic research and industrial challenges.","PeriodicalId":292301,"journal":{"name":"Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems","volume":"25 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120906963","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}
The healthcare scene is changing radically around the world as innovative digital technologies are being adopted to meet the challenges of burgeoning healthcare costs, maintain quality of care and provide access to healthcare services. Global internet connectivity, wide-spread use of smart phones, social media and existence in an environment of ubiquitous computing and ambient intelligence have empowered the people to participate more actively in the management of their personal health. The advent of Health IOT heralds a paradigm shift with Smart healthcare in which integrated care models adopted to consolidate the fragmented care services will be technologically enhanced to deliver personalised and precision healthcare tailored to the individual. Home healthcare promises to be the new frontier and a potentially disruptive technology innovation. Wearable biosensors, digital health monitoring devices, intelligent home monitoring, digital avatars for behavioural modification and treatment compliance, wellness and healthcare mobile applications, telemedicine, tele-rehabilitation, telepresence robots, social robots, homecare and services networks driven by artificial intelligence and point-of-care diagnostics for personalised healthcare are some of the exciting changes on the horizon if not already in practice. Integration of these technologies into existing healthcare systems and workflows can be challenging. Singapore is well-poised with the Smart Nation programme to harness the value of these health technologies.
{"title":"Keynote Talk: Harnessing Health IOT for Smart Healthcare","authors":"David T. Lai","doi":"10.1145/2933566.2935684","DOIUrl":"https://doi.org/10.1145/2933566.2935684","url":null,"abstract":"The healthcare scene is changing radically around the world as innovative digital technologies are being adopted to meet the challenges of burgeoning healthcare costs, maintain quality of care and provide access to healthcare services. Global internet connectivity, wide-spread use of smart phones, social media and existence in an environment of ubiquitous computing and ambient intelligence have empowered the people to participate more actively in the management of their personal health. The advent of Health IOT heralds a paradigm shift with Smart healthcare in which integrated care models adopted to consolidate the fragmented care services will be technologically enhanced to deliver personalised and precision healthcare tailored to the individual. Home healthcare promises to be the new frontier and a potentially disruptive technology innovation. Wearable biosensors, digital health monitoring devices, intelligent home monitoring, digital avatars for behavioural modification and treatment compliance, wellness and healthcare mobile applications, telemedicine, tele-rehabilitation, telepresence robots, social robots, homecare and services networks driven by artificial intelligence and point-of-care diagnostics for personalised healthcare are some of the exciting changes on the horizon if not already in practice. Integration of these technologies into existing healthcare systems and workflows can be challenging. Singapore is well-poised with the Smart Nation programme to harness the value of these health technologies.","PeriodicalId":292301,"journal":{"name":"Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111841","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}
{"title":"Heterogeneous Services in Layered Framework of IoT Enabled Assisted Living","authors":"T. Bhattasali, N. Chaki","doi":"10.1145/2933566.2933572","DOIUrl":"https://doi.org/10.1145/2933566.2933572","url":null,"abstract":"","PeriodicalId":292301,"journal":{"name":"Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004104","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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