Joint angles are commonly measured in physical rehabilitation to evaluate joint function. Evidences showed that wearable inertial sensors can accurately quantify human motion information, however, the most advanced and accurate methodologies require the execution of complex calibration movements which are unsuitable to inexpert users and inadequate for a home context. This way, four different joint angles estimation methods requiring no calibration movement were developed in order to track the main human body joint angles in real time. IMUs mounted in bracelets were used to restrict sensor positioning on the limbs. For six different exercises, the estimated absolute and relative joint angles were evaluated against the marker-based video tracking software Kinovea ground-truth. Correlation analysis between estimated and ground-truth joint angles indicated a very strong and statistically significant correlation. The average error in estimated joint angles is below 5 degrees for all four methods employed, which may be an acceptable result for the rehabilitation at home scenario.
{"title":"Joint angles tracking for rehabilitation at home using inertial sensors: a feasibility study","authors":"Ana Pereira, V. Guimarães, I. Sousa","doi":"10.1145/3154862.3154888","DOIUrl":"https://doi.org/10.1145/3154862.3154888","url":null,"abstract":"Joint angles are commonly measured in physical rehabilitation to evaluate joint function. Evidences showed that wearable inertial sensors can accurately quantify human motion information, however, the most advanced and accurate methodologies require the execution of complex calibration movements which are unsuitable to inexpert users and inadequate for a home context. This way, four different joint angles estimation methods requiring no calibration movement were developed in order to track the main human body joint angles in real time. IMUs mounted in bracelets were used to restrict sensor positioning on the limbs. For six different exercises, the estimated absolute and relative joint angles were evaluated against the marker-based video tracking software Kinovea ground-truth. Correlation analysis between estimated and ground-truth joint angles indicated a very strong and statistically significant correlation. The average error in estimated joint angles is below 5 degrees for all four methods employed, which may be an acceptable result for the rehabilitation at home scenario.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919531","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}
Josh Cherian, Vijay Rajanna, Daniel W. Goldberg, T. Hammond
Failing to brush one's teeth regularly can have surprisingly serious health consequences, from periodontal disease to coronary heart disease to pancreatic cancer. This problem is especially worrying when caring for the elderly and/or individuals with dementia, as they often forget or are unable to perform standard health activities such as brushing their teeth, washing their hands, and taking medication. To ensure that such individuals are correctly looked after they are placed under the supervision of caretakers or family members, simultaneously limiting their independence and placing an immense burden on their family members and caretakers. To address this problem we developed a non-invasive wearable system based on a wrist-mounted accelerometer to accurately identify when a person brushed their teeth. We tested the efficacy of our system with a month-long in-the-wild study and achieved an accuracy of 94% and an F-measure of 0.82.
{"title":"Did you remember to brush?: a noninvasive wearable approach to recognizing brushing teeth for elderly care","authors":"Josh Cherian, Vijay Rajanna, Daniel W. Goldberg, T. Hammond","doi":"10.1145/3154862.3154866","DOIUrl":"https://doi.org/10.1145/3154862.3154866","url":null,"abstract":"Failing to brush one's teeth regularly can have surprisingly serious health consequences, from periodontal disease to coronary heart disease to pancreatic cancer. This problem is especially worrying when caring for the elderly and/or individuals with dementia, as they often forget or are unable to perform standard health activities such as brushing their teeth, washing their hands, and taking medication. To ensure that such individuals are correctly looked after they are placed under the supervision of caretakers or family members, simultaneously limiting their independence and placing an immense burden on their family members and caretakers. To address this problem we developed a non-invasive wearable system based on a wrist-mounted accelerometer to accurately identify when a person brushed their teeth. We tested the efficacy of our system with a month-long in-the-wild study and achieved an accuracy of 94% and an F-measure of 0.82.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130365209","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. Prabhakar, Lucia Guerra-Reyes, Anne Effron, Vanessa M. Kleinschmidt, Maggie Driscoll, Charles Peters, Vanessa Pereira, Majdah Alshehri, Tom Ongwere, K. Siek
This paper presents findings from a study conducted with 48 pregnant and new mothers to understand their support needs and support sources. We engaged 10 first-time pregnant women, 20 pregnant mothers, and 18 new mothers in eight weeks of research activities using closed Facebook groups. The activities included surveys, open ended questions, creative tasks, and discussions. Our findings indicate that mothers most value instrumental support: physical help in tasks, such as laundry and cooking. Our findings also show that support needs and support sources of women evolve as they go through pregnancy, childbirth, and stages of motherhood. Informed by these findings, we propose a design framework - the Evolving Ecology of Support (EES) - and provide examples on how the Pervasive Health community can develop empowering and support enabling solutions.
{"title":"\"let me know if you need anything\": support realities of new mothers","authors":"A. Prabhakar, Lucia Guerra-Reyes, Anne Effron, Vanessa M. Kleinschmidt, Maggie Driscoll, Charles Peters, Vanessa Pereira, Majdah Alshehri, Tom Ongwere, K. Siek","doi":"10.1145/3154862.3154863","DOIUrl":"https://doi.org/10.1145/3154862.3154863","url":null,"abstract":"This paper presents findings from a study conducted with 48 pregnant and new mothers to understand their support needs and support sources. We engaged 10 first-time pregnant women, 20 pregnant mothers, and 18 new mothers in eight weeks of research activities using closed Facebook groups. The activities included surveys, open ended questions, creative tasks, and discussions. Our findings indicate that mothers most value instrumental support: physical help in tasks, such as laundry and cooking. Our findings also show that support needs and support sources of women evolve as they go through pregnancy, childbirth, and stages of motherhood. Informed by these findings, we propose a design framework - the Evolving Ecology of Support (EES) - and provide examples on how the Pervasive Health community can develop empowering and support enabling solutions.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131515092","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}
Tina Chien-Wen Yuan, Benjamin V. Hanrahan, Richard J. Wirth, M. Rosson, John Millar Carroll
Engagement in social activities and participation in community, allows people to coproduce their own health and wellbeing. This paper reports an ongoing design study that uses an email listserv to support older adults to organize and enact more coproductions together. Email is a tool that our participants are familiar with and already use. We augment their daily practices and past experience of this simple technology for promoting health coproductions. We discuss the rationale for using email as a tool, the design of the listserv, and how the older adults use the new technology.
{"title":"We are healthier together: designing for technology-mediated health coproductions by older adults","authors":"Tina Chien-Wen Yuan, Benjamin V. Hanrahan, Richard J. Wirth, M. Rosson, John Millar Carroll","doi":"10.1145/3154862.3154899","DOIUrl":"https://doi.org/10.1145/3154862.3154899","url":null,"abstract":"Engagement in social activities and participation in community, allows people to coproduce their own health and wellbeing. This paper reports an ongoing design study that uses an email listserv to support older adults to organize and enact more coproductions together. Email is a tool that our participants are familiar with and already use. We augment their daily practices and past experience of this simple technology for promoting health coproductions. We discuss the rationale for using email as a tool, the design of the listserv, and how the older adults use the new technology.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133708389","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}
Ramazan Gündogdu, Alexander Bejan, C. Kunze, Matthias Wölfel
Reminiscence Therapy can act as an effective and conducive method for increasing the Quality of Life (QoL) of people with dementia (PwD) when implemented properly. In addition to non-digital approaches, digitally enhanced systems can be built to elicit positive memories as well as emotions using multimodal interaction and digital content. In the same line, interactive multimedia systems can also be used to provide meaningful, engaging and joyful activities for PwD in order to further increase well-being and QoL. The aim of this study was to investigate whether using natural user interfaces (NUI) provides benefits to interactive multimedia systems for PwD. Elaborated interaction possibilities should further facilitate the physical and mental activation of PwD as well as stimulate positive feelings, empowerment and joy. Since there are no applications available that satisfy the particular requirements of our user group, we developed an interactive aquarium application as our study object. The application supports touch gestures as well as tangible object interaction. The application can be used to playfully activate and engage PwD. It can help to establish and to improve communication with PwD, promote positive feelings and, last but not least, be fun. The study demonstrated that interactive multimedia systems using NUI and object interaction are a promising approach to improve the QoL of PwD.
{"title":"Activating people with dementia using natural user interface interaction on a surface computer","authors":"Ramazan Gündogdu, Alexander Bejan, C. Kunze, Matthias Wölfel","doi":"10.1145/3154862.3154929","DOIUrl":"https://doi.org/10.1145/3154862.3154929","url":null,"abstract":"Reminiscence Therapy can act as an effective and conducive method for increasing the Quality of Life (QoL) of people with dementia (PwD) when implemented properly. In addition to non-digital approaches, digitally enhanced systems can be built to elicit positive memories as well as emotions using multimodal interaction and digital content. In the same line, interactive multimedia systems can also be used to provide meaningful, engaging and joyful activities for PwD in order to further increase well-being and QoL. The aim of this study was to investigate whether using natural user interfaces (NUI) provides benefits to interactive multimedia systems for PwD. Elaborated interaction possibilities should further facilitate the physical and mental activation of PwD as well as stimulate positive feelings, empowerment and joy. Since there are no applications available that satisfy the particular requirements of our user group, we developed an interactive aquarium application as our study object. The application supports touch gestures as well as tangible object interaction. The application can be used to playfully activate and engage PwD. It can help to establish and to improve communication with PwD, promote positive feelings and, last but not least, be fun. The study demonstrated that interactive multimedia systems using NUI and object interaction are a promising approach to improve the QoL of PwD.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131845420","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 main problem with remote monitoring of cardiac device patients relates to inefficient communication. This is because patients and clinicians are separated in space and time. In the SCAUT project (2014--2018) we experiment with asynchronous interaction and explore how different types of patient-generated data can improve collaboration. The types of data that patients generate using the SCAUT patient app includes symptom experiences (categories/audio/numeric values), context (activity level/audio), medication list and travel information. We find that it is very important to consider how the data that patients enter can become useful for patients and clinicians simultaneously.
{"title":"SCAUT: using patient-generated data to improve remote monitoring of cardiac device patients","authors":"T. Andersen, J. Moll","doi":"10.1145/3154862.3154922","DOIUrl":"https://doi.org/10.1145/3154862.3154922","url":null,"abstract":"The main problem with remote monitoring of cardiac device patients relates to inefficient communication. This is because patients and clinicians are separated in space and time. In the SCAUT project (2014--2018) we experiment with asynchronous interaction and explore how different types of patient-generated data can improve collaboration. The types of data that patients generate using the SCAUT patient app includes symptom experiences (categories/audio/numeric values), context (activity level/audio), medication list and travel information. We find that it is very important to consider how the data that patients enter can become useful for patients and clinicians simultaneously.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345614","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}
Charlotte Tang, Mohamed Magueramane, Robert Sierminski, Housam Eldin Mohamed
International students often bring along medical practices and medications from home when studying abroad, in case they become sick. Upon arrival, international students are faced with many challenges, such as cultural and language barriers, social isolation, financial difficulties, and disparities in healthcare practices. We conducted semi-structured interviews with 24 international students from 10 different countries to explore their health behavior change using the Health Belief Model. Our study revealed an urgent need to address the issue of self-diagnosis and self-medication, a common problem among international students. We also propose design recommendations for technologies to facilitate their healthcare information seeking and communication with health providers.
{"title":"Changes in international students' health care and management","authors":"Charlotte Tang, Mohamed Magueramane, Robert Sierminski, Housam Eldin Mohamed","doi":"10.1145/3154862.3154898","DOIUrl":"https://doi.org/10.1145/3154862.3154898","url":null,"abstract":"International students often bring along medical practices and medications from home when studying abroad, in case they become sick. Upon arrival, international students are faced with many challenges, such as cultural and language barriers, social isolation, financial difficulties, and disparities in healthcare practices. We conducted semi-structured interviews with 24 international students from 10 different countries to explore their health behavior change using the Health Belief Model. Our study revealed an urgent need to address the issue of self-diagnosis and self-medication, a common problem among international students. We also propose design recommendations for technologies to facilitate their healthcare information seeking and communication with health providers.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133494390","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}
Jomara Bindá, Hyehyun Park, John Millar Carroll, Natalie Cope, Tina Chien-Wen Yuan, E. Choe
An explosion of affordable commercial wearable sensing devices and mobile health applications has opened up new possibilities to practice self-tracking and enjoy its benefits. However, elders often do not engage with health tracking technologies because they do not see much benefits. Leveraging the inherent reciprocal relationship among family members is one potential approach to promote the practice of health tracking. In this paper, we aim to understand and support intergenerational sharing of health data as a collective and collaborative family project of mutual support. Based on interviews and scenario-based focus group discussions, we report on family members' understanding of one another's health and well-being, their current health-related practices, and issues around health management as a means to facilitate intergenerational health collaboration.
{"title":"Intergenerational sharing of health data among family members","authors":"Jomara Bindá, Hyehyun Park, John Millar Carroll, Natalie Cope, Tina Chien-Wen Yuan, E. Choe","doi":"10.1145/3154862.3154895","DOIUrl":"https://doi.org/10.1145/3154862.3154895","url":null,"abstract":"An explosion of affordable commercial wearable sensing devices and mobile health applications has opened up new possibilities to practice self-tracking and enjoy its benefits. However, elders often do not engage with health tracking technologies because they do not see much benefits. Leveraging the inherent reciprocal relationship among family members is one potential approach to promote the practice of health tracking. In this paper, we aim to understand and support intergenerational sharing of health data as a collective and collaborative family project of mutual support. Based on interviews and scenario-based focus group discussions, we report on family members' understanding of one another's health and well-being, their current health-related practices, and issues around health management as a means to facilitate intergenerational health collaboration.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114854853","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}
In this position paper we describe select aspects of our experience with health-related self-tracking, the data generated, and processes surrounding those. In particular we focus on how bilateral patient-clinician engagement may be fostered by the combination of technology and method. We exemplify with a case study where a PTSD-suffering veteran has been self-tracking a specific symptom precursor. The availability of high-resolution self-tracking data on the occurrences of even a single symptom created new opportunities in the therapeutic process for identifying underlying triggers of symptoms. The patient was highly engaged in self-tracking and sharing the collected data. We suggest a key reason was the collaborative effort in defining the data collection protocol and discussion of the data. The therapist also engaged highly in the self-tracking data, as it supported the existing therapeutic process in reaching insights otherwise unobtainable.
{"title":"Fostering bilateral patient-clinician engagement in active self-tracking of subjective experience","authors":"J. E. Larsen, T. B. Christiansen, Kasper Eskelund","doi":"10.1145/3154862.3154918","DOIUrl":"https://doi.org/10.1145/3154862.3154918","url":null,"abstract":"In this position paper we describe select aspects of our experience with health-related self-tracking, the data generated, and processes surrounding those. In particular we focus on how bilateral patient-clinician engagement may be fostered by the combination of technology and method. We exemplify with a case study where a PTSD-suffering veteran has been self-tracking a specific symptom precursor. The availability of high-resolution self-tracking data on the occurrences of even a single symptom created new opportunities in the therapeutic process for identifying underlying triggers of symptoms. The patient was highly engaged in self-tracking and sharing the collected data. We suggest a key reason was the collaborative effort in defining the data collection protocol and discussion of the data. The therapist also engaged highly in the self-tracking data, as it supported the existing therapeutic process in reaching insights otherwise unobtainable.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124778331","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}
Smiles are important signals in face-to-face communication that provides impressions / feelings to observers. For example, a speaker can be motivated from audience smiles. People can smile from feeling or by acting or posing the smile. We used observers' physiological signals such as PR (Pupillary Response), BVP (Blood Volume Pulse), and GSR (Galvanic Skin Response) to classify smilers' real (elicited) and posed (asked to act) smiles. Twenty smile videos were collected from benchmark datasets and shown to 24 observers while asking them to make choices, and recording their physiological signals. A leave-one-video-out process was used to measure classification accuracies, and was 93.7% accurate for PR features.
{"title":"Classifying posed and real smiles from observers' peripheral physiology","authors":"Md. Zakir Hossain, Tom Gedeon","doi":"10.1145/3154862.3154893","DOIUrl":"https://doi.org/10.1145/3154862.3154893","url":null,"abstract":"Smiles are important signals in face-to-face communication that provides impressions / feelings to observers. For example, a speaker can be motivated from audience smiles. People can smile from feeling or by acting or posing the smile. We used observers' physiological signals such as PR (Pupillary Response), BVP (Blood Volume Pulse), and GSR (Galvanic Skin Response) to classify smilers' real (elicited) and posed (asked to act) smiles. Twenty smile videos were collected from benchmark datasets and shown to 24 observers while asking them to make choices, and recording their physiological signals. A leave-one-video-out process was used to measure classification accuracies, and was 93.7% accurate for PR features.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122098280","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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