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Special Section Technical Briefs

Affective Voice Recognition of Older Adults1

[+] Author and Article Information
Alexander Hong, Yuma Tsuboi, Goldie Nejat, Beno Benhabib

Department of Mechanical and Industrial Engineering,
University of Toronto,
Toronto, ON M5S, Canada

DOI: 10.1115/1.4033226Manuscript received March 1, 2016; final manuscript received March 17, 2016; published online May 12, 2016. Editor: William Durfee.

J. Med. Devices 10(2), 020931 (May 12, 2016) (2 pages) Paper No: MED-16-1166; doi: 10.1115/1.4033226 History: Received March 01, 2016; Revised March 17, 2016

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References

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McColl, D. , Hong, A. , Hatakeyama, N. , Nejat, G. , and Benhabib, B. , 2015, “ A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI,” J. Intell. Robot. Syst., 82(1), pp. 101–133. [CrossRef]
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Rojas, V. , Ochoa, S. F. , and Hervás, R. , 2014, “ Monitoring Moods in Elderly People Through Voice Processing,” Ambient Assisted Living and Daily Activities, 6th International Workshop on Ambient Assisted Living (IWAAL 2014), Belfast, UK, Dec. 2–5, Springer, Cham, Switzerland, pp. 139–146.
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McKeown, G. , 2011, “ The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations Between a Person and a Limited Agent,” IEEE Trans. Affect. Comput., 3(1), pp. 5–17. [CrossRef]
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Figures

Grahic Jump Location
Fig. 1

The UofT socially assistive robot Brian 2.1

Grahic Jump Location
Fig. 2

Vocal affect recognition and classification architecture

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