, Positive Impact of Early Health Change Detection on Intervention Services for Elderly People
, European Project City4Age Strategy and Objectives, vol.38, p.20
,
, Examples of Sensor-Enhanced Devices
, Examples of In-Phone-Embedded Sensors
, Implementation Architecture of ChangeTracker Service in UbiSMART Platform 62 4.2 Application of Time At Home Algorithm Based on Movements and Door Openings
, Application of Visit Detection Algorithm Based on Parallel Activity Periods 66
, Sleep Time Detection Algorithm Based on Activity Level Changes
, Application of Weighted Sleep Interruption Algorithm, p.69
, Application of Weighted Movement Number Algorithm, p.70
, , p.78
, Bayesian Log-Likelihood of Data
, Client-Server Implementation Architecture of ChangeTracker Service, vol.82
, Sensor Event Table in PostgreSQL Database
, Index Page View of ChangeTracker Service
, Daily Information View of ChangeTracker Service
, Stable Daily Evolution of Sleep Interruptions for Participant
, Stable Daily Evolution of Sleep Interruptions for Participant O Confirming Long Sleep
, Stable Daily Evolution of Sleep Interruptions for Participant T Confirming Good Sleep
, Toilet Entries of Participant U Due to Urinary Infection, p.131
, Detected Changes in Time Out of Participant V Due to Parkinson, p.132
, Toilet Entries of Participant X Due to Treatment Change, p.133
, Detected Changes in Activity Level of Participant Y Due to Treatment Change134
, Correlation of Detected Changes with Medical Observations, p.135
, Possible Cause Rates of Detected Changes in Individual Houses, p.137
, Possible Cause Rates of Detected Changes in Nursing Home, p.138
, , p.162
, , p.168
25 2.2 Existing Behavior Change Initiation and Maintenance Models ,
55 3.10 Raw and Inferred Data of In-Phone-Embedded Sensors ,
105 5.2 Regular Participant Habits and Reported Health Information Related to Cognitive Impairments (CG), Physical Impairments (PH), Diabetes (DB), Frequent Visits (FV) and Go Out (FG) ,
Early Change Detection Examples for Participant A, p.115 ,
Early Change Detection Examples for Participant, p.117 ,
Early Change Detection Examples for Participant, vol.118 ,
Early Change Detection Examples for Participant, p.120 ,
Early Change Detection Examples for Participant, p.122 ,
Early Change Detection Examples for Participant, p.124 ,
Early Change Detection Examples for Participant, p.124 ,
Early Change Detection Examples for Participant, p.125 ,
Early Change Detection Examples for Participant I, p.126 ,
Early Change Detection Examples for Participant, p.126 ,
Early Change Detection Examples for Participant, p.127 ,
Early Change Detection Examples for Participant, p.128 ,
Early Change Detection Examples for Participant, p.129 ,
Early Change Detection Examples for Participant, p.132 ,
Early Change Detection Examples for Participant, p.132 ,
Early Change Detection Examples for Participant, p.133 ,
Early Change Detection Examples for Participant, p.134 ,
, Possible Causes of Detected Changes in Individual Houses, p.137
138 5.23 Change Detection Technique Precision, Advantages, Disadvantages and Configuration (window length (W) and threshold (Th)), p.143 ,
, 171 5.8 Google Mail and Twilio SMS Notification Implementation, p.172
, Sleep Time Detection Algorithm
Change Detection Technique ,
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, Naive Bayes Classifier Change Detection Technique
These batteries last for several months up to 1 year. Locally-deployed X10 receiver collects generated sensor events. Sensor IDs are random combination of 6 alpha-numerical values; e.g., main door sensor has ID "C6F280". access credentials. UbiGate component of UbiSMART implements Python scripts to manage Internet disconnections. Raspberry-pi gateway retains sensor events during Internet disconnections, and re-transfers them after Internet re-connection. Implemented scripts send continuous "KeepAlive" notifications to identify Internet disconnections. Micro-SD card of Raspberry-PI supports installation of Linux operating system (Table 5.27). Control unit and internal memory execute required scripts with good performance. Power consumption is reasonable during months of non-interrupted functioning. RaspberryPi gateway accesses smart home devices for possible intervention ,
, United nations population division: World population prospects, 2018.
, Towards an age-friendly world, 2018.
, United states census bureau: International data base, 2018.
Burden of frailty in the elderly population: perspectives for a public health challenge, vol.73, p.19, 2015. ,
Frailty in elderly people, The Lancet, vol.381, issue.9868, pp.752-762, 2013. ,
, World Health Organization. Dementia fact sheet n°362. preprint, 2018.
The public health impact of alzheimer's disease, 2000-2050: potential implication of treatment advances. Annual review of public health, 2002. ,
Global prevalence of dementia: a delphi consensus study. The lancet, vol.366, pp.2112-2117, 2005. ,
Lack of information and access to advanced treatment for parkinson's disease patients, Journal of multidisciplinary healthcare, vol.4, p.433, 2011. ,
Neurologist care in parkinson disease a utilization, outcomes, and survival study, Neurology, vol.77, issue.9, pp.851-857, 2011. ,
In-home assessment of the activities of daily living of the elderly, Extended Abstracts of CHI 2005: Workshops-HCI Challenges in Health Assessment, 2005. ,
Does this patient have dementia?, Jama, vol.297, issue.21, 2007. ,
The recognition and early management of critical illness, Annals of the Royal College of Surgeons of England, vol.87, issue.5, p.315, 2005. ,
Predictive value of nonspecific symptoms for acute illness in nursing home residents, Journal of the American Geriatrics Society, vol.51, issue.8, pp.1111-1115, 2003. ,
A survey on ambient intelligence in healthcare, Proceedings of the IEEE, vol.101, issue.12, pp.2470-2494, 2013. ,
Using technology to enhance aging in place, International Conference on Smart Homes and Health Telematics, pp.169-176, 2008. ,
Aging in place: A new model for long-term care, Nursing administration quarterly, vol.24, issue.3, pp.1-11, 2000. ,
Big data privacy in the internet of things era, IT Professional, vol.17, issue.3, pp.32-39, 2015. ,
Older adults' attitudes towards and perceptions of 'smart home'technologies: a pilot study, Medical informatics and the Internet in medicine, vol.29, issue.2, pp.87-94, 2004. ,
Early and unobtrusive detection of possible health changes toward better translation of geriatric needs, Pervasive and Mobile Computing, 2018. ,
Long-term behavior change detection approach through objective technological observations toward better adaptation of services for elderly people, Health and Technology, 2018. ,
Technological approach for early and unobtrusive detection of possible health changes toward more effective treatment, 2018. ,
Unobtrusive technological approach for continuous behavior change detection toward better adaptation of clinical assessments and interventions for elderly people. Enhanced Quality of Life and Smart Living, pp.21-33, 2017. ,
Romain Endelin, Mounir Mokhtari, and Philippe Fraisse. Technological approach for behavior change detection toward better adaptation of services for elderly people, p.96, 2017. ,
Health it success and failure: recommendations from literature and an amia workshop, Journal of the American Medical Informatics Association, vol.16, issue.3, pp.291-299, 2009. ,
Health information systems: Failure, success and improvisation, International journal of medical informatics, vol.75, issue.2, pp.125-137, 2006. ,
External validation of the short emergency geriatric assessment (sega) instrument on the safes cohort, Geriatrie et psychologie neuropsychiatrie du vieillissement, vol.14, pp.49-55, 2016. ,
Mini-mental state examination. Principles and practice of geriatric psychiatry, pp.140-141, 2002. ,
Geriatric depression scale, Journal of the American Geriatrics Society, 1990. ,
Instrumental activities of daily living as a screening tool for cognitive impairment and dementia in elderly community dwellers, Journal of the American Geriatrics Society, vol.40, issue.11, pp.1129-1134, 1992. ,
Relation entre performances cognitives globales et dépendance évaluée par la grille aggir. Revue d'épidémiologie et de santé publique, vol.47, 1999. ,
Balance in elderly patients: the" get-up and go" test. Archives of physical medicine and rehabilitation, vol.67, pp.387-389, 1986. ,
The mini nutritional assessment (mna) and its use in grading the nutritional state of elderly patients, Nutrition, vol.15, issue.2, pp.116-122, 1999. ,
Behavioral pathology in alzheimer's disease (behave-ad) rating scale, International Psychogeriatrics, vol.8, issue.S3, pp.301-308, 1997. ,
The neuropsychiatric inventory comprehensive assessment of psychopathology in dementia, Neurology, vol.44, issue.12, pp.2308-2308, 1994. ,
, Clinique beau soleil. preprint, 2018.
Elderly-friendly city services for active and healthy aging, 2018. ,
Temporal clustering for behavior variation and anomaly detection from data acquired through iot in smart cities, Recent Applications in Data Clustering. IntechOpen, 2018. ,
Temporal clustering and anomaly detection in elderly friendly smart cities based on hidden markov models, 2018. ,
, -depth behavior understanding and use: the behavior informatics approach, vol.180, pp.3067-3085, 2010.
, Sociobiology, 2000.
Trends in consumer behaviour changes. overview of concepts, Acta Scientiarum Polonorum. Oeconomia, vol.14, issue.3, 2015. ,
Consumer behaviour and marketing strategy, 2008. ,
Binge drinking and associated health risk behaviors among high school students, Pediatrics, vol.119, issue.1, pp.76-85, 2007. ,
Sexual behavior and drinking style among teenagers: a population-based study in finland, Health promotion international, vol.24, issue.2, pp.108-119, 2009. ,
Educational Psychology: Pearson New International Edition: Developing Learners. Pearson Higher Ed, 2013. ,
Historical origins of the health belief model, Health Education & Behavior, vol.2, issue.4, pp.328-335, 1974. ,
The transtheoretical approach. Handbook of psychotherapy integration, vol.2, pp.147-171, 2005. ,
Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors, Applied Psychology, vol.57, issue.1, pp.1-29, 2008. ,
A comparison of the theory of planned behavior and the theory of reasoned action, Personality and social psychology Bulletin, vol.18, issue.1, pp.3-9, 1992. ,
Verbal behavior. BF Skinner Foundation, 2014. ,
Social foundations of thought and action: A social cognitive theory, 1986. ,
Social learning theory, 1977. ,
The theory of differential association. Deviance: a symbolic interactionist approach, General Hall, pp.64-68, 1995. ,
Qualidem: development and evaluation of a dementia specific quality of life instrument--validation, International journal of geriatric psychiatry, vol.22, issue.5, pp.424-430, 2007. ,
Quality of life in alzheimer's disease: patient and caregiver reports, Journal of Mental health and Aging, vol.5, pp.21-32, 1999. ,
Françoise Capriz-Ribièrel, Sylvie Lefebvre-Chapirol, Frédérique Gauquelinl, and Sylvie Bonin-Guillaumel. Validation of an acute pain-behavior scale for older persons with inability to communicate verbally: Algoplus®, European Journal of Pain, vol.15, issue.2, pp.198-199, 2011. ,
Psychometric properties of the doloplus-2 observational pain assessment scale and comparison to self-assessment in hospitalized elderly, The Clinical journal of pain, vol.23, issue.9, pp.774-779, 2007. ,
Conceptualization of agitation: results based on the cohenmansfield agitation inventory and the agitation behavior mapping instrument, International Psychogeriatrics, vol.8, issue.S3, pp.309-315, 1997. ,
The pittsburgh agitation scale: a user-friendly instrument for rating agitation in dementia patients, The American Journal of Geriatric Psychiatry, vol.2, issue.1, pp.52-59, 1994. ,
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach, IEEE 38th Annual International Conference of the, pp.3712-3715, 2016. ,
An adaptable and flexible framework for assistive living of cognitively impaired people, IEEE journal of biomedical and health informatics, vol.18, issue.1, pp.353-360, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01098449
Deployment of assistive living technology in a nursing home environment: methods and lessons learned, BMC medical informatics and decision making, vol.13, issue.1, p.42, 2013. ,
URL : https://hal.archives-ouvertes.fr/lirmm-00823754
Monitor and watch you elderly family members' daily activities with singtel's smart home solutions, 2018. ,
Eva est une plateforme logicielle qui fonctione sur la base de capteurs repartis dans le domicile, 2018. ,
How are habits formed: Modelling habit formation in the real world, European journal of social psychology, vol.40, issue.6, pp.998-1009, 2010. ,
Sensor-based observations of daily living for aging in place. Personal and Ubiquitous Computing, vol.19, pp.27-43, 2015. ,
Unsupervised detection and analysis of changes in everyday physical activity data, Journal of biomedical informatics, vol.63, pp.54-65, 2016. ,
Alzheimer disease and associated disorders, vol.28, p.145, 2014. ,
Unobtrusive measurement of daily computer use to detect mild cognitive impairment, Alzheimer's & Dementia, vol.10, issue.1, pp.10-17, 2014. ,
Medication adherence in healthy elders: small cognitive changes make a big difference, Journal of aging and health, 2009. ,
Unobtrusive assessment of activity patterns associated with mild cognitive impairment, Alzheimer's & Dementia, vol.4, issue.6, pp.395-405, 2008. ,
Associations between observed in-home behaviors and self-reported low mood in community-dwelling older adults, Journal of the American Geriatrics Society, vol.62, issue.4, pp.685-689, 2014. ,
Unobtrusive phone monitoring as a novel measure of cognitive function, The Journal of the Alzheimer's Association, vol.10, issue.4, pp.366-367, 2014. ,
Web-enabled conversational interactions as a method to improve cognitive functions: Results of a 6-week randomized controlled trial, Alzheimer's & dementia: translational research & clinical interventions, vol.1, issue.1, 2015. ,
Automatic assessment of cognitive impairment through electronic observation of object usage, International Conference on Pervasive Computing, pp.192-209, 2010. ,
Toward the automatic assessment of behavioral distrubances of dementia, 2003. ,
Non-intrusive patient monitoring of alzheimer's disease subjects using wireless sensor networks, Privacy, Security, Trust and the Management of e-Business, 2009. CONGRESS'09. World Congress on, pp.161-165, 2009. ,
Personalised ambient monitoring: supporting mental health at home. Advances in home care technologies: Results of the Match project, pp.67-85, 2012. ,
M-psychiatry: Sensor networks for psychiatric health monitoring, Proceedings of The 9th Annual Postgraduate Symposium The Convergence of Telecommunications, Networking and Broadcasting, pp.33-37, 2008. ,
Eating activity primitives detection-a step towards adl recognition, 10th International Conference on, pp.35-41, 2008. ,
Visual confusion recognition in movement patterns from walking path and motion energy, International Conference on Smart Homes and Health Telematics, pp.124-135 ,
, , 2017.
A modified all-andone classification algorithm combined with the bag-of-features model to address the food recognition task, HEALTHINF, pp.284-290, 2017. ,
A telecare system on smart watches that communicate with wireless bio sensors, HEALTHINF, pp.429-434, 2017. ,
Perdmcs: Weighted fusion of ppg signal features for robust and efficient diabetes mellitus classification, HEALTHINF, pp.553-560, 2017. ,
Adaptive monitoring system for e-health smart homes, Pervasive and Mobile Computing, vol.43, pp.1-19, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01646731
Persim 3d: Context-driven simulation and modeling of human activities in smart spaces, IEEE Transactions on Automation Science and Engineering, vol.12, issue.4, pp.1243-1256, 2015. ,
Unobtrusive sensing and wearable devices for health informatics, IEEE Transactions on Biomedical Engineering, vol.61, issue.5, pp.1538-1554, 2014. ,
The future of long-term care for the chronically ill, Nursing Administration Quarterly, vol.25, issue.1, pp.51-58, 2000. ,
A survey of mobile phone sensing, self-reporting, and social sharing for pervasive healthcare, IEEE journal of biomedical and health informatics, vol.21, issue.1, pp.218-227, 2017. ,
Sensor model language, 2018. ,
, International Organization for Standardization. Geographic information -observations and measurements. preprint, 2018.
Change-point analysis: a powerful new tool for detecting changes, 2000. ,
Statistical methods for change detection, Fault Analysis and Control, vol.XVI, p.130, 2009. ,
Detection of changes in time-series of indicators using cusum control charts, Aquatic Living Resources, vol.22, issue.2, pp.187-192, 2009. ,
Comparing methods of measurement: why plotting difference against standard method is misleading. The lancet, vol.346, pp.1085-1087, 1995. ,
Optimal detection of changepoints with a linear computational cost, Journal of the American Statistical Association, vol.107, issue.500, pp.1590-1598, 2012. ,
Naive bayes classifiers. University of British Columbia, vol.18, 2006. ,
Exact and efficient bayesian inference for multiple changepoint problems, Statistics and computing, vol.16, issue.2, pp.203-213, 2006. ,
Statistical outlier detection using direct density ratio estimation. Knowledge and information systems, vol.26, pp.309-336, 2011. ,
Time-series novelty detection using one-class support vector machines, Proceedings of the International Joint Conference on, vol.3, pp.1741-1745, 2003. ,
Affinity propagation: clustering data by passing messages, 2009. ,
k-means++: The advantages of careful seeding, Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pp.1027-1035, 2007. ,
Mean shift: A robust approach toward feature space analysis, IEEE Transactions, vol.24, issue.5, pp.603-619, 2002. ,
Detecting the progression of eye disease: Cusum charts for assessing the visual field and retinal nerve fiber layer thickness. Translational vision science & technology, vol.2, pp.2-2, 2013. ,
Cumulative sum and exponentially weighted moving average control charts, 2016. ,
, MQTT. Mqtt connectivity protocol. preprint, 2018.
Postgresql: open source relational database. preprint, 2018. ,
Gmail api: Sending email. preprint, 2018. ,
Connect the world with the leading platform for voice, sms, and video. preprint, 2018. ,
Agile framework for rapid deployment in ambient assisted living environments, Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services, pp.410-413, 2016. ,
Mécanisme d'optimisation du raisonnement pour l'actimétrie: application à l'assistance ambiante pour les personnes âgées, 2016. ,
Montpellier mediterranee metropole, 2018. ,
Pole autonomie sante, 2018. ,
Ms13e wireless motion sensor, 2018. ,
Ds90 door/window sensor, 2018. ,
Raspberry pi: Small and affordable computer. preprint, 2018. ,
Cm19a usb pc transceiver, 2018. ,
, Node.js. Node.js: Javascript runtime. preprint, 2018.
Sails makes it easy to build custom, enterprise-grade node.js apps. preprint, 2018. ,
, Humble Software. Flotr2. preprint, 2018.