{"title":"Designing enjoyable multimodal activities to reduce falls risk in the community","authors":"Stephen Uzor, L. Baillie, D. Skelton","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246138","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246138","url":null,"abstract":"This paper summarizes on-going work aimed at improving falls rehabilitation in the community using enjoyable multimodal exercise games. There have been numerous successful trials involving the use of exercise interventions to reduce falls risk. However, there is an existing problem with adherence to these exercises in the home. We propose the use of games - based on established programmes of exercise for falls prevention - to encourage independence and motivation to exercise in community-dwelling older adults at risk of falls. Current evidence shows that games can be used to aid rehabilitation; with most studies focusing on the use of commercially available games. In cases where certain limb motions are required for effective recovery; special games and hardware tools that encourage these motions are needed. Because such tools are often expensive and complex to set up; most interventions of this type have been restricted to the laboratory setting. In order to deliver these activities to community-dwelling users, we investigated the use of various portable wireless technologies to help achieve this aim. Finally, we describe the next stage of our research in which we intend to co-design with falls patients, engaging multimodal activities to motivate users to exercise. Once this phase is complete, we will evaluate, through trials, the use of these activities in the home.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122465783","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":"Understanding the implementation & integration of remote & tele-health services … an overview of Normalization Process Theory","authors":"M. Bouamrane, Janice Osbourne, F. Mair","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246039","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246039","url":null,"abstract":"Policymakers worldwide are increasingly supporting the development of nation-wide tele-healthcare, assisted living and healthy-living technology programs. To support transformation processes within healthcare systems, the computing and Interaction Design community must continually strive to identify, describe, understand and reassess the factors causing users to adopt — and also often reject — technology. We review the Normalization Process Theory, a theoretical model of processes of intervention within the health services. The theory has been iteratively developed over the last decade by health services practitioners and researchers, with direct experience of analysing modalities and impact of changes resulting from complex technological interventions within the health services. The theory is of direct relevance to all designers involved in developing or evaluating the deployment of electronic tele-health-care, assisted living and healthy-living technology.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796172","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":"Location of an inhabitant for domotic assistance through fusion of audio and non-visual data","authors":"Pedro Chahuara, François Portet, Michel Vacher","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246054","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246054","url":null,"abstract":"In this paper, a new method to locate a person using multimodal non-visual sensors and microphones in a pervasive environment is presented. The information extracted from sensors is combined using a two-level dynamic network to obtain the location hypotheses. This method was tested within two smart homes using data from experiments involving about 25 participants. The preliminary results show that an accuracy of 90% can be reached using several uncertain sources. The use of implicit localisation sources, such as speech recognition, mainly used in this project for voice command, can improve performances in many cases.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"55 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131638983","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":"Monitoring of cognitive functioning by measuring reaction times with wearable devices","authors":"Burcu Cinaz, B. Arnrich, G. Tröster","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246012","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246012","url":null,"abstract":"Reaction time (RT) tests are known as simple and sensitive cognitive tests. A drawback of existing RT tests is that they require the full attention of a test person which prohibits the measurement of cognitive functioning during daily routine tasks. In this contribution we present our first steps in designing and evaluating reaction time tests which can be operated throughout everyday life by means of wearable devices. In a feasibility study we induce changes in reaction times by applying cognitive load in 5 test subjects. We compare the obtained wearable reaction times with desktop-based reaction time tests. We show that relative changes in the mean duration and the variability of reaction times are similar for both desktop-based and wearable reaction time test. We conclude that wearable reaction time tests seems feasible to measure changes in reaction times and hence would allow the measurement of cognitive functioning throughout everyday life.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130882950","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":"Reminders that make sense: Designing multimodal notifications for the home","authors":"M. McGee-Lennon, S. Brewster","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246032","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246032","url":null,"abstract":"This paper argues that reminders or notifications delivered in the home (such as appointments or when to take medication) should be available in multiple modalities (visual, auditory, tactile and olfactory) in order to increase the usability and acceptability of electronic home reminder systems. Briefly reviewing the context of the home as an interaction space this paper introduces some of the issues that can be addressed by exploiting multimodality. The paper goes on to present an overview of the different modalities available for electronic reminder delivery and finally gives an overview of the guidelines for multimodal reminder design emerging from the first year of the MultiMemoHome Project.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131230746","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}
J. Wagner, A. V. Halteren, J. Hoonhout, T. Plötz, Cuong Pham, P. Moynihan, D. Jackson, C. Ladha, K. Ladha, P. Olivier
{"title":"Towards a pervasive kitchen infrastructure for measuring cooking competence","authors":"J. Wagner, A. V. Halteren, J. Hoonhout, T. Plötz, Cuong Pham, P. Moynihan, D. Jackson, C. Ladha, K. Ladha, P. Olivier","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246101","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246101","url":null,"abstract":"Research has demonstrated that a lack of cooking competence can be a significant barrier to healthier eating. We present two studies from which we develop a set of requirements for a pervasive sensor infrastructure that will enable our Ambient Kitchen environment to measure cooking competence in an unobtrusive manner. From the first study we derive key characteristics and potentially measurable aspects of cooking competence. This study also led to the specification and design of a pervasive sensor infrastructure comprising of a set of kitchen utensils equipped with custom-made wireless accelerometers. The second study reports our initial findings from the use of the sensor infrastructure and demonstrates its potential to measure key indicators of cooking competence. Our studies provide initial evidence that cooking competence can be measured automatically using our proposed pervasive kitchen infrastructure.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"46 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898893","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}
Marja Harjumaa, M. Isomursu, S. Muuraiskangas, Antti Konttila
{"title":"HearMe: A touch-to-speech UI for medicine identification","authors":"Marja Harjumaa, M. Isomursu, S. Muuraiskangas, Antti Konttila","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246120","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246120","url":null,"abstract":"This article describes a medication management service concept for visually challenged older users. The service transforms medication information into speech. This can help visually challenged individuals to identify medication, and to find dosage and other consumption-related information. The user interface is based on Near Field Communication (NFC) technology, which makes it possible to write and read data in tags, which can be attached to medication packages. A speech synthesizer transforms the text stored in the tag into audio message. A complete service covering the service chain from pharmacy to user's home was implemented and evaluated. Findings from a field trial are presented, exploring how the service was adopted in the medication management. The results show that, while the users found the service easy to learn and use, they found the service concept difficult to integrate with their existing medication management practices.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114306720","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":"Development of portable device for monitoring the lithium level from bipolar disorder patients","authors":"Jung Ho Kim, D. Diamond, K. Lau","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246070","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246070","url":null,"abstract":"This research aims at developing low cost portable proactive healthcare technologies to put more control into the hands of patients especially who have mental illness so that the earliest signs of health problems with medications can be detected and corrected. Monitoring prescription drugs such as lithium, clozapine etc is important for safe guarding the well-being of the bipolar sufferers. Therapeutically useful amounts of lithium (∼ 0.6 to 1.2 mmol/L) are only slightly lower than toxic amounts (>1.5 mmol/L), so the concentration of lithium must be carefully monitored during treatment to avoid toxicity. A very sensitive analytical method was proposed for the spectrofluorimetric determination of lithium base on its reaction with 1,4-dihydroxyanthraquinone (Quinizarin). The fluorescence is measured at an excitation wavelength of 590 nm and emission wavelength of 620 nm. Saliva sample was tested using the proposed portable device in order to validate the feasibility of saliva as a sample to detect lithium ions. Calibration results presented that linear range of detection was 0.25 mM ∼ 6.0 mM of Li+ in saliva with R2=0.99. The range of detection covers sufficiently the therapeutic range of lithium drugs.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115111772","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}
Sebastian D. Bersch, Christian M. J. Chislett, D. Azzi, R. Khusainov, J. Briggs
{"title":"Activity detection using frequency analysis and off-the-shelf devices: Fall detection from accelerometer data","authors":"Sebastian D. Bersch, Christian M. J. Chislett, D. Azzi, R. Khusainov, J. Briggs","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246119","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246119","url":null,"abstract":"Increasingly, applications of technology are being developed to provide care to elderly and vulnerable people living alone. This paper looks at using sensors to monitor a person's wellbeing. The paper attempts to recognise and distinguish falling, sitting and walking activities from accelerometer data. Fast Fourier Transformation (FFT) is used to extract information from collected data. The low-cost accelerometer is part of a Texas Instruments watch. Our experiments focus on lower sampling rates than those used elsewhere in the literature. We show that a sampling rate of 10Hz from a wrist-worn device does not reliably distinguish between a fall and merely sitting down.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129547500","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":"Comparison of nearest neighbour and neural network based classifications of patient's activity","authors":"Matti Pouke, Risto T. Honkanen","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.245980","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.245980","url":null,"abstract":"This paper presents a comparison of 1-nearest neighbour (1-NN) and neural network based classification of patient activity. The data for classification was acquired from two 6 degree-of-freedom accelerometers deployed at the wrists of a patient. Instead of calculating statistical values, we studied the use of data samples acquired from 200ms time window. The best results were achieved with the 1-nearest neighbour algorithm. The overall accuracy of the 1-NN method was nearly 100%. The learning method for neural network used was the backpropagation with momentum. According to our experiments, the results of classification were more accurate with 1-NN in comparison with the result of neural network (93.4%).","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128964133","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}