-
1
-
-
35048842427
-
Activity recognition from user-annotated acceleration data
-
eds A. Ferscha and F. Mat-tern (Berlin/Heidelberg: Springer)
-
Bao, L., and Intille, S. (2004). "Activity recognition from user-annotated acceleration data," in Pervasive Computing, eds A. Ferscha and F. Mat-tern (Berlin/Heidelberg: Springer), 1-17.
-
(2004)
Pervasive Computing
, pp. 1-17
-
-
Bao, L.1
Intille, S.2
-
2
-
-
70350267046
-
Activity recognition for everyday lifeonmobile phones. Uni versal access
-
ed. C.Stephanidis (Berlin/Heidelberg: Springer)
-
Bieber, G., Voskamp, J. R., and Urban, B.(2009). "Activity recognition for everyday lifeonmobile phones. Uni versal access," in Human-Computer Interaction. Intelligent and Ubiqui tous Interaction Environments, ed. C.Stephanidis (Berlin/Heidelberg: Springer), 289-296.
-
(2009)
Human-Computer Interaction. Intelligent and Ubiqui tous Interaction Environments
, pp. 289-296
-
-
Bieber, G.1
Voskamp, J.R.2
Urban, B.3
-
3
-
-
77952661042
-
Activity recognition from accelerometer data on a mobile phone
-
Soft Computing, and Ambient Assisted Living, eds S. Omatu, M. Rocha, J. Bravo, F. Fernández, E. Corchado, A. Bustillo and J. Corchado (Berlin/Heidelberg: Springer)
-
Brezmes, T., Gorricho, J.-L., and Cot-rina, J. (2009). "Activity recognition from accelerometer data on a mobile phone," in IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, eds S. Omatu, M. Rocha, J. Bravo, F. Fernández, E. Corchado, A. Bustillo and J. Corchado (Berlin/Heidelberg: Springer), 796-799.
-
(2009)
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics
, pp. 796-799
-
-
Brezmes, T.1
Gorricho, J.-L.2
Cot-rina, J.3
-
5
-
-
42549108326
-
The mobile sensing platform: an embedded activity recognition system
-
Choudhury, T., Consolvo, S., Harrison, B., Hightower, J., Lamarca, A., Legrand, L., et al. (2008). The mobile sensing platform: an embedded activity recognition system. Pervasive Comput. IEEE 7, 32-41.
-
(2008)
Pervasive Comput. IEEE
, vol.7
, pp. 32-41
-
-
Choudhury, T.1
Consolvo, S.2
Harrison, B.3
Hightower, J.4
Lamarca, A.5
Legrand, L.6
-
6
-
-
64549114510
-
The effectsof exerciseon balance in persons with Parkinson's disease: a systematic review across the disability spectrum
-
Dibble, L. E., Addison, O., and Papa, E. (2009). The effectsof exerciseon balance in persons with Parkinson's disease: a systematic review across the disability spectrum. J. Neurol. Phys. Ther. 33, 14-26.
-
(2009)
J. Neurol. Phys. Ther.
, vol.33
, pp. 14-26
-
-
Dibble, L.E.1
Addison, O.2
Papa, E.3
-
7
-
-
33846572874
-
Projected number of people with Parkinson disease in the most populous nations 2005 through 2030
-
Dorsey, E. R., Constantinescu, R., Thompson, J. P., Biglan, K. M., Holloway, R. G., Kieburtz, K., et al. (2007). Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology 68, 384-386.
-
(2007)
Neurology
, vol.68
, pp. 384-386
-
-
Dorsey, E.R.1
Constantinescu, R.2
Thompson, J.P.3
Biglan, K.M.4
Holloway, R.G.5
Kieburtz, K.6
-
8
-
-
80054852151
-
Which measuresofphysicalfunction and motor impairment best predict quality of life in Parkinson,Äôs disease? Parkinsonism Relat
-
Ellis, T., Cavanaugh, J. T., Earhart, G. M., Ford, M. P., Foreman, K. B., and Dibble, L. E. (2011). Which measuresofphysicalfunction and motor impairment best predict quality of life in Parkinson,Äôs disease? Parkinsonism Relat. Disord. 17, 693-697.
-
(2011)
Disord
, vol.17
, pp. 693-697
-
-
Ellis, T.1
Cavanaugh, J.T.2
Earhart, G.M.3
Ford, M.P.4
Foreman, K.B.5
Dibble, L.E.6
-
9
-
-
79956370705
-
Measuring generalization of visuomotor perturbations in wrist movements using mobile phones
-
doi:10.1371/journal.pone.0020290
-
Fernandes, H. L., Albert, M. V., and Kording, K. P. (2011). Measuring generalization of visuomotor perturbations in wrist movements using mobile phones. PLoS ONE 6, e20290. doi:10.1371/journal.pone.0020290
-
(2011)
PLoS ONE
, vol.6
-
-
Fernandes, H.L.1
Albert, M.V.2
Kording, K.P.3
-
10
-
-
0032937059
-
Diagnostic criteria for Parkinson disease
-
Gelb, D. J., Oliver, E., and Gilman, S. (1999). Diagnostic criteria for Parkinson disease. Arch. Neurol. 56, 33-39.
-
(1999)
Arch. Neurol.
, vol.56
, pp. 33-39
-
-
Gelb, D.J.1
Oliver, E.2
Gilman, S.3
-
11
-
-
44449153709
-
The effectiveness of exercise interventions for people with Parkinson's disease: a systematic review and meta-analysis
-
Goodwin, V. A., Richards, S. H., Taylor, R. S., Taylor, A. H., and Campbell, J. L. (2008). The effectiveness of exercise interventions for people with Parkinson's disease: a systematic review and meta-analysis. Mov. Disord. 23, 631-640.
-
(2008)
Mov. Disord.
, vol.23
, pp. 631-640
-
-
Goodwin, V.A.1
Richards, S.H.2
Taylor, R.S.3
Taylor, A.H.4
Campbell, J.L.5
-
12
-
-
58349115175
-
An activity recognition system for mobile phones
-
Gyorbiro, N., Fabian, A., and Homanyi, G. (2009). An activity recognition system for mobile phones. Mobile Netw. Appl. 14, 82-91.
-
(2009)
Mobile Netw. Appl.
, vol.14
, pp. 82-91
-
-
Gyorbiro, N.1
Fabian, A.2
Homanyi, G.3
-
13
-
-
41149163183
-
Parkinson's disease: clinical features and diagnosis
-
Jankovic, J. (2008). Parkinson's disease: clinical features and diagnosis. J. Neurol. Neurosurg. Psychiatr. 79, 368-376.
-
(2008)
J. Neurol. Neurosurg. Psychiatr.
, vol.79
, pp. 368-376
-
-
Jankovic, J.1
-
14
-
-
78651349751
-
Continuous monitoring and quantification of multiple parameters of daily physical activity in ambulatory Duchenne muscular dystrophy patients
-
Jeannet, P.-Y., Aminian, K., Bloetzer, C., Najafi, B., and Paraschiv-Ionescu, A. (2011). Continuous monitoring and quantification of multiple parameters of daily physical activity in ambulatory Duchenne muscular dystrophy patients. Eur. J. Paediatr. Neurol. 15, 40-47.
-
(2011)
Eur. J. Paediatr. Neurol.
, vol.15
, pp. 40-47
-
-
Jeannet, P.-Y.1
Aminian, K.2
Bloetzer, C.3
Najafi, B.4
Paraschiv-Ionescu, A.5
-
15
-
-
79955036667
-
Rapid tremor frequency assessment with the iPhone accelerome-ter
-
Joundi, R. A., Brittain, J.-S., Jenkinson, N., Green, A. L., and Aziz, T. (2011). Rapid tremor frequency assessment with the iPhone accelerome-ter. Parkinsonism Relat. Disord. 17, 288-290.
-
(2011)
Parkinsonism Relat. Disord.
, vol.17
, pp. 288-290
-
-
Joundi, R.A.1
Brittain, J.-S.2
Jenkinson, N.3
Green, A.L.4
Aziz, T.5
-
16
-
-
44149123362
-
Accelerometry: a technique for quantifying movement patterns during walking
-
Kavanagh, J. J., and Menz, H. B. (2008). Accelerometry: a technique for quantifying movement patterns during walking. Gait Posture 28, 1-15.
-
(2008)
Gait Posture
, vol.28
, pp. 1-15
-
-
Kavanagh, J.J.1
Menz, H.B.2
-
17
-
-
51449085444
-
Analysis of low resolution accelerometer data for continuous human activity recognition, in International 28 Conference on, Acoustics, Speech, and Signal Processing, ICASSP 2008 IEEE
-
Krishnan, N. C., and Panchanathan, S. (2008). "Analysis of low resolution accelerometer data for continuous human activity recognition," in International 28 Conference on, Acoustics, Speech, and Signal Processing, ICASSP 2008 IEEE, Las Vegas, 3337-3340.
-
(2008)
Las Vegas
, pp. 3337-3340
-
-
Krishnan, N.C.1
Panchanathan, S.2
-
18
-
-
21244437589
-
Sparse multinomial logistic regression: fast algorithms and generalization bounds
-
Krishnapuram, B., Carin, L., Figueiredo, M. A. T., and Hartemink, A. J. (2005). Sparse multinomial logistic regression: fast algorithms and generalization bounds. IEEE Trans. Pattern Anal. Mach. Intell. 27, 957-968.
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, pp. 957-968
-
-
Krishnapuram, B.1
Carin, L.2
Figueiredo, M.A.T.3
Hartemink, A.J.4
-
19
-
-
80054964826
-
Activity recognition using cell phone accelerometers
-
Kwapisz, J. R., Weiss, G. M., and Moore, S. A. (2011). Activity recognition using cell phone accelerometers. SIGKDD Explor. 12, 74-82.
-
(2011)
SIGKDD Explor
, vol.12
, pp. 74-82
-
-
Kwapisz, J.R.1
Weiss, G.M.2
Moore, S.A.3
-
20
-
-
78449255503
-
Physical activity recognition using a single tri-axis accelerometer
-
San Francisco
-
Lee, M., Kim, J.,Kim,K.,Lee,I.,Jee,S. H., andYoo,S. K. (2009)."Physical activity recognition using a single tri-axis accelerometer," in Proceedings of the World Congress on Engineering and Computer Science, San Francisco.
-
(2009)
Proceedings of the World Congress on Engineering and Computer Science
-
-
Lee, M.1
Kim, J.2
Kim, K.3
Lee, I.4
Jee, S.H.5
Yoo, S.K.6
-
21
-
-
77950974840
-
Single-accelerometer-based daily physical activity classification
-
Long, X., Yin, B., and Aarts, R. M. (2009). "Single-accelerometer-based daily physical activity classification," in Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2009, Minneapolis, 6107-6110.
-
(2009)
Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2009 Minneapolis
, pp. 6107-6110
-
-
Long, X.1
Yin, B.2
Aarts, R.M.3
-
22
-
-
77950247206
-
Machine learning methods for classifying human physical activity from on-body accelerometers
-
Mannini,A., and Sabatini,A. M. (2010). Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors 10, 1154-1175.
-
(2010)
Sensors
, vol.10
, pp. 1154-1175
-
-
Mannini, A.1
Sabatini, A.M.2
-
23
-
-
6344237275
-
Classification of basic daily movements using a triaxial accelerom-eter
-
Mathie, M. J., Celler, B. G., Lovell, N. H., and Coster, A. C. (2004a). Classification of basic daily movements using a triaxial accelerom-eter. Med. Biol. Eng. Comput. 42, 679-687.
-
(2004)
Med. Biol. Eng. Comput.
, vol.42
, pp. 679-687
-
-
Mathie, M.J.1
Celler, B.G.2
Lovell, N.H.3
Coster, A.C.4
-
24
-
-
2342539792
-
Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement
-
Mathie, M. J., Coster, A. C. F., Lovell, N. H., and Celler, B. G. (2004b). Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas. 25, R1.
-
(2004)
Physiol. Meas.
, vol.25
-
-
Mathie, M.J.1
Coster, A.C.F.2
Lovell, N.H.3
Celler, B.G.4
-
25
-
-
33750826738
-
Activity recognition and monitoring (using) multiple sensors on different body positions,inInternationalWorkshop on Wearable and Implantable Body Sensor Networks, BSN
-
Maurer, U., Smailagic, A., Siewiorek, D. P., and Deisher, M. (2006). "Activity recognition and monitoring (using) multiple sensors on different body positions,"inInternationalWorkshop on Wearable and Implantable Body Sensor Networks, BSN 2006, Aachen, 113-116.
-
(2006)
Aachen 2006
, pp. 113-116
-
-
Maurer, U.1
Smailagic, A.2
Siewiorek, D.P.3
Deisher, M.4
-
26
-
-
0037599299
-
Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly
-
Najafi, B., Aminian, K., Paraschiv-Ionescu, A., Loew, F., Bula, C. J., and Robert, P. (2003). Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly. IEEE Trans. Biomed. Eng. 50, 711-723.
-
(2003)
IEEE Trans. Biomed. Eng.
, vol.50
, pp. 711-723
-
-
Najafi, B.1
Aminian, K.2
Paraschiv-Ionescu, A.3
Loew, F.4
Bula, C.J.5
Robert, P.6
-
28
-
-
29344474528
-
Activity recognition from accelerometer data
-
(Pittsburgh: AAAI Press)
-
Ravi, N., Dandekar, N., Mysore, P., and Littman, M. (2005). "Activity recognition from accelerometer data," in Proceedings of the Seventeenth Conference on Innovative Applications of Artificial Intelligence, (Pittsburgh: AAAI Press), 1541-1546.
-
(2005)
Proceedings of the Seventeenth Conference on Innovative Applications of Artificial Intelligence
, pp. 1541-1546
-
-
Ravi, N.1
Dandekar, N.2
Mysore, P.3
Littman, M.4
-
29
-
-
70849110528
-
Ambula-tion: a tool for monitoring mobility patterns over time using mobile phones, in International Conference on Computational Science and Engineering CSE'09
-
Ryder, J., Longstaff, B., Reddy, S., and Estrin, D. (2009). "Ambula-tion: a tool for monitoring mobility patterns over time using mobile phones," in International Conference on Computational Science and Engineering CSE'09,Vancouver,927-931.
-
(2009)
Vancouver
, pp. 927-931
-
-
Ryder, J.1
Longstaff, B.2
Reddy, S.3
Estrin, D.4
-
30
-
-
36348970711
-
Ambulatorymonitor-ing of physical activities in patients with Parkinson's disease
-
Salarian,A., Russmann,H.,Vingerhoets, F. J. G., Burkhard, P. R., and Amin-ian,K. (2007).Ambulatorymonitor-ing of physical activities in patients with Parkinson's disease. IEEE Trans. Biomed. Eng. 54, 2296-2299.
-
(2007)
IEEE Trans. Biomed. Eng.
, vol.54
, pp. 2296-2299
-
-
Salarian, A.1
Russmann, H.2
Vingerhoets, F.J.G.3
Burkhard, P.R.4
Amin-ian, K.5
-
31
-
-
0031720497
-
Exercise to improve spinal flexibility and function for people with Parkinson's disease: a randomized, controlled trial
-
Schenkman, M., Cutson, T. M., Kuchib-hatla, M., Chandler, J., Pieper, C. F., Ray, L., et al. (1998). Exercise to improve spinal flexibility and function for people with Parkinson's disease: a randomized, controlled trial. J. Am. Geriatr. Soc. 46, 1207-1216.
-
(1998)
J. Am. Geriatr. Soc.
, vol.46
, pp. 1207-1216
-
-
Schenkman, M.1
Cutson, T.M.2
Kuchib-hatla, M.3
Chandler, J.4
Pieper, C.F.5
Ray, L.6
-
32
-
-
0347579852
-
Patient compliance with paper and electronic diaries
-
Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., and Hufford, M. R. (2003). Patient compliance with paper and electronic diaries. Control. Clin. Trials 24, 182-199.
-
(2003)
Control. Clin. Trials
, vol.24
, pp. 182-199
-
-
Stone, A.A.1
Shiffman, S.2
Schwartz, J.E.3
Broderick, J.E.4
Hufford, M.R.5
-
33
-
-
84861507891
-
Android application for spiral analysis in Parkinson's Disease, in Proceedings of IEEE Southeastcon
-
Surangsrirat, D., and Thanawattano, C. (2012). "Android application for spiral analysis in Parkinson's Disease," in Proceedings of IEEE Southeastcon, Orlando, 1-6.
-
(2012)
Orlando
, pp. 1-6
-
-
Surangsrirat, D.1
Thanawattano, C.2
-
34
-
-
41149177155
-
Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor
-
IEEE Computer Society, Boston
-
Tapia, E. M., Intille, S. S., Haskell, W., Larson, K., Wright, J., King, A., et al. (2007). "Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor," in Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers. IEEE Computer Society, Boston.
-
(2007)
Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
-
-
Tapia, E.M.1
Intille, S.S.2
Haskell, W.3
Larson, K.4
Wright, J.5
King, A.6
-
35
-
-
70450253226
-
A framework of energy efficient mobile sensing for automatic user state recognition
-
applications, andservices, Krakow, Poland: ACM
-
Wang,Y., Lin, J., Annavaram, M., Jacob-son,Q.A., Hong,J., Krishnamachari, B., et al. (2009). "A framework of energy efficient mobile sensing for automatic user state recognition," in Proceedings of the 7th international conference on Mobile systems, applications, andservices,Krakow, Poland: ACM.
-
(2009)
Proceedings of the 7th international conference on Mobile systems
-
-
Wang, Y.1
Lin, J.2
Annavaram, M.3
Jacob-son, Q.A.4
Hong, J.5
Krishnamachari, B.6
|