Advanced sound and distress speech expression classification for human status awareness in assistive environments, The Journal on Information Technology in Healthcare, vol.7, issue.2, pp.111-117, 2009. ,
ADVANCED CLASSIFICATION AND RULES-BASED EVALUATION OF MOTION, VISUAL AND BIOSIGNAL DATA FOR PATIENT FALL INCIDENT DETECTION, International Journal on Artificial Intelligence Tools, vol.19, issue.02, pp.175-191, 2010. ,
DOI : 10.1142/S0218213010000108
Real Time Recognition of Elderly Daily Activity using Fuzzy Logic through Fusion of Motion and Location Data, International Journal of Computer Applications, vol.54, issue.3, pp.55-60, 2012. ,
DOI : 10.5120/8549-2109
Detection of falls using accelerometers and mobile phone technology, Age and Ageing, vol.40, issue.6, pp.690-696, 2011. ,
DOI : 10.1093/ageing/afr050
Postural stability in the elderly: a comparison between fallers and non-fallers, Age and Ageing, vol.33, issue.6, pp.602-607, 2004. ,
DOI : 10.1093/ageing/afh218
A Customized Human Fall Detection System Using Omni-Camera Images and Personal Information, 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2., pp.39-42, 2006. ,
DOI : 10.1109/DDHH.2006.1624792
Monitoring behavior in home using a smart fall sensor and position sensors, 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.00EX451), pp.607-610, 2000. ,
DOI : 10.1109/MMB.2000.893857
On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix, Journal of Mathematical Analysis and Applications, vol.106, issue.1, pp.69-84, 1985. ,
DOI : 10.1016/0022-247X(85)90131-3
The relationship between socioeconomic status and fracture in a fracture clinic setting: Data from the Nottingham Fracture Liaison Service, Injury, vol.46, issue.2 ,
DOI : 10.1016/j.injury.2014.10.002
Detecting Falls with Wearable Sensors Using Machine Learning Techniques, Sensors, vol.14, issue.6, pp.10691-10708, 2014. ,
DOI : 10.3390/s140610691
CONTINUOUS INSPECTION SCHEMES, Biometrika, vol.41, issue.1-2, pp.100-115, 1954. ,
DOI : 10.1093/biomet/41.1-2.100
Optimal unsupervised learning in a single-layer linear feedforward neural network, Neural Networks, vol.2, issue.6, pp.459-473, 1989. ,
DOI : 10.1016/0893-6080(89)90044-0
Statistical data mining of streaming motion data for activity and fall recognition in assistive environments, Neurocomputing, vol.107, pp.87-96, 2013. ,
DOI : 10.1016/j.neucom.2012.08.036
Candid covariance-free incremental principal component analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.8, pp.1034-1040, 2003. ,
DOI : 10.1109/TPAMI.2003.1217609
Do rates of hospital admission for falls and hip fracture in elderly people vary by socio-economic status?, Public Health, vol.118, issue.8, pp.576-581, 2004. ,
DOI : 10.1016/j.puhe.2004.02.006
Convergence analysis of complementary candid incremental principal component analysis, Comput. Sci. Eng, 2001. ,