Multisource domain adaptation and its application to early detection of fatigue

ACM Transactions on Knowledge Discovery from Data

Volumn 6, Issue 4, 2012, Pages

  Chattopadhyay, Rita ^a   Sun, Qian ^a   Fan, Wei ^b   Davidson, Ian ^c   Panchanathan, Sethuraman ^a   Ye, Jieping ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Multisource domain adaption; Subject based variability; Surface electromyogram; Transfer learning

Indexed keywords

CONDITIONAL PROBABILITIES; CONDITIONAL PROBABILITY DISTRIBUTIONS; DOMAIN ADAPTIONS; GENERALIZATION PERFORMANCE; SUBJECT-BASED VARIABILITY; SURFACE ELECTROMYOGRAM; SURFACE ELECTROMYOGRAPHY; TRANSFER LEARNING;

CLASSIFICATION (OF INFORMATION); ELECTROMYOGRAPHY; MUSCLE; PROBABILITY DISTRIBUTIONS;

SIGNAL DETECTION;

EID: 84878555728     PISSN: 15564681     EISSN: 1556472X     Source Type: Journal    
DOI: 10.1145/2382577.2382582     Document Type: Conference Paper

References (39)

1. BARTLETT, P. AND MENDELSON, S. 2002. Rademacher and Gaussian complexities: Risk bounds and structural results. J. Mach. Learn. Res. 3, 463-482.
2. BELKIN, M., NIYOGI, P., AND SINDHWANI, V. 2006. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res. 7, 2399-2434.
3. BEN-DAVID, S., BLITZER, J., CRAMMER, K., KULESZA, A., PEREIRA, F., AND VAUGHAN, J. 2010. A theory of learning from different domains. J. Mach. Learn. 79, 151-175.
4. BICKEL, S., BRÜCKNER, M., AND SCHEFFER, T. 2009. Discriminative learning under covariate shift. J. Mach. Learn. Res. 10, 2137-2155.
5. BLITZER, J., DREDZE, M., AND PEREIRA, F. 2007. Biographics, Bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL'07).
6. BORGWARDT, K., GRETTON, A., RASCH, M., KRIEGEL, H., SCHÖLKOPF, AND SMOLA, A. J. 2006. Integrating structured biological data by kernel maximum mean discrepancy. Bioinf. 22, 14, 49-57.
7. CHATTOPADHYAY, R., GAURAV, P., AND SETHURAMAN, P. 2009. A generalized machine learning framework for continuous monitoring of physiological conditions based on fatigue and intensity of activity in daily living. In Proceedings of the Women in Machine Learning/Advances in Neural Information Processing Systems Conference (WIML/NIPS'09).
8. CHATTOPADHYAY, R., SETHURAMAN, P., AND GAURAV, P. 2010. Towards fatigue and intensity measurement framework during continuous repetitive activities. In Proceedings of the International Instrumentation and Measurement Technology Conference (I2MTC'10).
9. CONTESSA, P., ADAM, A., AND LUCA, C. J. D. 2009. Motor unit control and force fluctuation during fatigue. J. Appl. Physiol. 107, 1, 235-243.
10. DAUMÉ III, H. 2007. Frustratingly easy domain adaptation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL'07).
11. DUAN, L., TSANG, I., XU, D., AND MAYBANK, S. 2009a. Domain transfer svm for video concept detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09).
12. DUAN, L., TSANG, I. W., XU, D., AND CHUA, T. S. 2009b. Domain adaptation from multiple sources via auxiliary classifiers. In Proceedings of the International Conference on Machine Learning (ICML'09). 289-296.
13. GAO, J., FAN, W., JIANG, J., AND HAN, J. 2008. Knowledge transfer via multiple model local structure mapping. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08). 283-291.
14. GEORGAKIS, A., STERGIOULAS, L., AND GIAKAS, G. 2003. Fatigue analysis of the surface emg signal in isometric constant force contractions using the averaged instantaneous frequency. IEEE Trans. Biomed. Engin. 50, 2, 262-265.
15. GERDLE, B., LARSSON, B., AND KARLSSON, S. 2000. Criterion validation of surface emg variables as fatigue indicators using peak torque: A study of repetitive maximum isokinetic knee extensions. J. Electromyg. Kinesiol. 10, 4, 225-232.
16. HIGGS, P. 1992. Upper extremity impairment in workers performing repetitive tasks. Plastic Reconstr. Surg. 90, 614.
17. HUANG, J., SMOLA, A. J., GRETTON, A., BORGWARDT, K., AND SCHÖLKOPF, B. 2007. Correcting sample selection bias by unlabeled data. In Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS'07).
18. KAKADE, S. AND TEWARI, A. 2008. Lecture notes of cmsc 35900: Learning theory. Toyota Technological Institute at Chicago.
19. KIM, J. AND ANDRE, E. 2008. Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell. 30, 12, 2067-2083.
20. KNAFLITZ, M. AND BONATO, P. 1999. Time-Frequency methods applied to muscle fatigue assessment during dynamic contractions. J. Electromyogr. Kinesiol. 9, 5, 337-350.
21. KOLTCHINSKII, V. 2001. Rademacher penalties and structural risk minimization. IEEE Trans. Inf. Theory 47, 5, 1902-1914.
22. LEON, E.,CLARKE, G., CALLAGHAN, V., AND SEPULVEDA, F. 2007. A user independent real time emotion recognition system for software agents in domestic environment. Engin. Appl. Artif. Intell. 20, 3, 337-345.
23. LUO, P., ZHUANG, F., XIONG, H., XIONG, Y., AND HE, Q. 2008. Transfer learning from multiple source domains via consensus regularization. In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM'08).
24. MANSOUR, Y.,MOHRI, M., AND ROSTAMIZADEH, A. 2009a. Domain adaptation: Learning bounds and algorithms. http://www.cs.nyu.edu/?mohri/pub/nadap.pdf.
25. MANSOUR, Y.,MOHRI, M., AND ROSTAMIZADEH, A. 2009b. Domain adaptation with multiple sources. In Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS'09).
26. MASSART, P. 2000. Some applications of concentration inequalities to statistics. Annales de la Faculte des Sciences de ToulouseSciences de Toulouse IX, 2, 245-303.
27. MCDIARMID, C. 1989. On the Method of Bounded Differences. Vol. 5, Cambridge University Press.
28. PAN, S. J., KWOK, J. T., AND YANG, Q. 2008. Transfer learning via dimensionality reduction. In Proceedings of the AAAI Conference on Artificial Intelligence.
29. PAN, S. J., TSANG, I. W., KWOK, J. T., AND YANG, Q. 2009. Domain adaptation via transfer component analysis. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'09).
30. PAN, S. J. AND YANG, Q. 2009. A survey on transfer learning. IEEE Trans. Knowl. Data Engin. 22, 10.
31. SCHLKOPF, B. AND SMOLA, A. J. 2002. Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond. The MIT Press.
32. SHI, X., FAN, W., YANG, Q., AND REN, J. 2009. Relaxed transfer of different classes via spectral partition. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09).
33. SHIMODAIRA, H. 2000. Improving predictive inference under covariate shift by weighting the log-likelihood function. J. Statist. Plan. Infer. 90, 227-244.
34. SILVERSTEIN, B., FINE, L., AND ARMSTRONG, T. 1986. Hand wrist cumulative trauma disorders in industry [1351-0711]. Occupat. Environm. Med. 43, 779.
35. STEINWART, I. 2001. On the influence of the kernel on the consistency of support vector machines. J. Mach. Learn. Res. 2, 67-93.
36. SUGIYAMA, M.,NAKAJIMA, S.,KASHIMA, H., BUENAU, P. V., AND KAWANABE, M. 2008. Direct importance estimation with model selection and its application to covariate shift adaptation. In Proceedings of the International Conference on Advancements in Neural Information Processing Systems (NIPS'08).
37. SVMLIGHT. 2012. http://svmlight.joachims.org/.
38. YOUNG, V. L.,SEATON, M. K., FEELY, C. A.,ARFKEN, C., EDWARDS, D. F., BAUM, C. M., AND LOGAN, S. 1995. Detecting cumulative trauma disorders in workers performing repetitive tasks. Amer. J. Ind. Med. 27, 3, 419-431.
39. ZHONG, E., FAN, W., PENG, J., ZHANG, K., REN, J., TURAGA, D., AND VERSCHEURE, O. 2009. Cross domain distribution adaptation via kernel mapping. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09).