Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring
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[1] P. Olivier,et al. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease. , 2014, Gait & posture.
[2] Peter A. Flach,et al. Smart homes, private homes? An empirical study of technology researchers’ perceptions of ethical issues in developing smart-home health technologies , 2017, BMC medical ethics.
[3] Wolfgang L. Zagler,et al. Ambient Assisted Living Systems - The Conflicts between Technology, Acceptance, Ethics and Privacy , 2007, Assisted Living Systems - Models, Architectures and Engineering Approaches.
[4] B. Guthrie,et al. Process evaluation of the data-driven quality improvement in primary care (DQIP) trial: active and less active ingredients of a multi-component complex intervention to reduce high-risk primary care prescribing , 2017, Implementation Science.
[5] Athanase Benetos,et al. FIVE TIMES SIT TO STAND TEST IS A PREDICTOR OF RECURRENT FALLS IN HEALTHY COMMUNITY‐LIVING SUBJECTS AGED 65 AND OLDER , 2008, Journal of the American Geriatrics Society.
[6] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[7] Martina Ziefle,et al. Medical Technology in Smart Homes: Exploring the User's Perspective on Privacy, Intimacy and Trust , 2011, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.
[8] Russell Baker,et al. A Data Set of Human Body Movements for Physical Rehabilitation Exercises , 2018, Data.
[9] Andrew Kerr,et al. Frequency of the sit to stand task: An observational study of free-living adults. , 2010, Applied ergonomics.
[10] Niall Twomey,et al. Bridging e-Health and the Internet of Things: The SPHERE Project , 2015, IEEE Intelligent Systems.
[11] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[12] Veralia Gabriela Sánchez,et al. ETHICS OF SMART HOUSE WELFARE TECHNOLOGY FOR OLDER ADULTS: A SYSTEMATIC LITERATURE REVIEW , 2017, International Journal of Technology Assessment in Health Care.
[13] Michael R Whitehouse,et al. Using home sensing technology to assess outcome and recovery after hip and knee replacement in the UK: the HEmiSPHERE study protocol , 2018, BMJ Open.
[14] Po-Yin Chen,et al. Can sit-to-stand lower limb muscle power predict fall status? , 2014, Gait & posture.
[15] R W Bohannon,et al. Sit-to-Stand Test for Measuring Performance of Lower Extremity Muscles , 1995, Perceptual and motor skills.
[16] S. Demura,et al. Center of gravity transfer velocity during sit-to-stand is closely related to physical functions regarding fall experience of the elderly living in community dwelling , 2013 .
[17] Philip K Schot,et al. Sit-to-Stand Performance of Older Adults following Strength Training , 2003, Research quarterly for exercise and sport.
[18] Ruzena Bajcsy,et al. Vision-based Event Detection of the Sit-to-Stand Transition , 2015, EAI Endorsed Trans. Ambient Syst..
[19] Naohiko Kanemura,et al. Sit-to-Walk versus Sit-to-Stand or Gait Initiation: Biomechanical Analysis of Young Men , 2006 .
[20] Andrew Zisserman,et al. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Majid Mirmehdi,et al. CaloriNet: From silhouettes to calorie estimation in private environments , 2018, BMVC.
[22] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] S. Lord,et al. Kinect-Based Five-Times-Sit-to-Stand Test for Clinical and In-Home Assessment of Fall Risk in Older People , 2015, Gerontology.
[24] Yen-Ko Lin,et al. Development and pilot testing of an informed consent video for patients with limb trauma prior to debridement surgery using a modified Delphi technique , 2017, BMC medical ethics.