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Bappaditya Mandal's Outputs (8)

Spontaneous Versus Posed Smiles—Can We Tell the Difference? (2016)
Conference Proceeding
Mandal, B., & Ouarti, N. (2017). Spontaneous Versus Posed Smiles—Can We Tell the Difference?. . https://doi.org/10.1007/978-981-10-2107-7_24

Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways. Generally, it shows happy state of the mind, however, ‘smiles’ can be deceptive, for example people can give a smile when they feel happy an... Read More about Spontaneous Versus Posed Smiles—Can We Tell the Difference?.

Vision and Memory: Looking Beyond Immediate Visual Perception (2016)
Book Chapter
Tan, C., Lallee, S., & Mandal, B. (2017). Vision and Memory: Looking Beyond Immediate Visual Perception. In Computational and Cognitive Neuroscience of Vision (195-219). Springer. https://doi.org/10.1007/978-981-10-0213-7_9

The topic of vision is “often studied as if our conscious experience were the ultimate end-product of visual processing” (Hayhoe 2009), with research sometimes overly focused on immediate visual perception—processes aimed at understanding the current... Read More about Vision and Memory: Looking Beyond Immediate Visual Perception.

SocioGlass: Social interaction assistance with face recognition on google glass (2016)
Journal Article
Mandal, B. (2016). SocioGlass: Social interaction assistance with face recognition on google glass. https://doi.org/10.1186/s41070-016-0011-8

We present SocioGlass - a system built on Google Glass paired with a mobile phone that provides a user with in-situ information about an acquaintance in face-to-face communication. The system can recognize faces from the live feed of visual input. Ac... Read More about SocioGlass: Social interaction assistance with face recognition on google glass.

Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition (2016)
Conference Proceeding
Song, S., Chandrasekhar, V., Mandal, B., Li, L., Lim, J., Babu, G. S., …Cheung, N. (2016). Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. . https://doi.org/10.1109/cvprw.2016.54

In this paper, we propose a multimodal multi-stream deep learning framework to tackle the egocentric activity recognition problem, using both the video and sensor data. First, we experiment and extend a multi-stream Convolutional Neural Network to le... Read More about Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition.

MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence (2016)
Journal Article
Mandal, B. (2016). MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence. https://doi.org/10.1186/s41070-016-0006-5

Dementia results in much stress in senior citizens and and immensely affects their quality of life. It also incurs huge financial and emotional burdens to their family members. Personal information assistance may alleviate such a problem by enhancing... Read More about MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence.

Trends in Machine and Human Face Recognition (2016)
Book Chapter
Mandal, B., Lim, R. Y., Dai, P., Sayed, M. R., Li, L., & Lim, J. H. (2016). Trends in Machine and Human Face Recognition. In Advances in Face Detection and Facial Image Analysis (145-187). Springer. https://doi.org/10.1007/978-3-319-25958-1_7

Face recognition (FR) is a natural and intuitive way for human beings to identify or verify or at least get familiar and interact with other members of the community. Hence, human beings expect and endeavor to develop similar competency in machine re... Read More about Trends in Machine and Human Face Recognition.