http://repository.iiitd.edu.in/xmlui/handle/123456789/1009 Sat, 11 Apr 2026 03:09:37 GMT 2026-04-11T03:09:37Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1237 Entrepreneurial venture: creating a fashion brand that symbolizes fitness Jain, Pranay; Sethi, Tavpritesh (Advisor) Physical Health is an integral part of one’s health, which is affected by Physical Fitness, Nutrition, Sleep Cycle, etc. Among these, Physical Fitness is something people like to talk about and show the most. We are creating an athleisure brand that sells apparel exclusively to those who have crossed a certain degree of fitness. We want to give people into fitness something to be proud of, something they can wear as a token of their hardwork. This report will talk about the rapid iterations made to the ideation to reach where we finally are, and related work like customer discovery, research, etc. The research and ideation conducted so far will be implemented in the next semester, with the goal to launch a minimum viable product. Sat, 01 May 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1237 2021-05-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1235 Resource sharing platform (ShareIIITD) Gupta, Anmol; Kumar Singh, Sandeep; Shah, Rajiv Ratn (Advisor) We often feel that a need exists for a platform to facilitate sharing of resources within the IIITD community. Resources are not necessarily limited to material objects and can range from books and electronic items to technical expertise and team formation. ShareIIITD is a web app that can enable people in IIITD to reach out to others, beyond their group of friends, for the purpose of sharing or requesting resources. Wed, 01 Dec 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1235 2021-12-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1014 EMAR creepiness research with Indian adolescents Budhiraja, Tanya; Suri, Venkata Ratnadeep (Advisor); Bjorling, Elin (Advisor) The uncanny valley has been well explored in robotics, however, this concept has not been explored in adolescents. Therefore the purpose of this study is to understand the concepts of creepiness and scariness in relation to social robots for adolescents. This study is a replica of a study conducted by Project EMAR in Seattle over the summer of 2020, to study the social and cultural differences in perceptions of creepiness in teenagers. We conducted 9 participatory, remote design sessions with a total of 13 adolescents. Activities included image gathering, group discussions and story boarding. Through these methods we gathered data regarding (1) perceptions of creepy existing technologies, (2) the distinction between creepy vs. scary technologies and (3) illustrations of creepy social robot interaction Sat, 01 May 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1014 2021-05-01T00:00:00Z http://repository.iiitd.edu.in/xmlui/handle/123456789/1013 Contextual emotion recognition Butta, Shubhangi; Shukla, Jainendra (Advisor) Emotion recognition via vision has been deeply associated with facial expressions, and the detection of emotions has, more often than not, been based on the same [7]. However, context plays an imperative role in emotion recognition but has not been incorporated widely so far [6]. The meaning of an emotion might entirely switch when shifted from one setting to another if only facial expressions are taken into account. To cater to this issue, our work aims at creating a data set of video clips and an accompanying approach that uses Recurrent Convolution Networks (RCNs) to effectively take into consideration the temporal context. The work proposes a dual-stream architecture to extract facial and contextual features separately. There are a handful of studies that focus primarily on data sets of video clips for emotion recognition, while also taking into account the context [8] [12]. However, since there exists no study in the Indian context about the same, we contribute to this gap by proposing the ICER (Indian Contextual Emotion Recognition) data set of 12,451 video clips, based on the multi-ethnic Indian context. 4533 videos from the dataset are strongly annotated while the remaining are weakly annotated- the former being annotated on 7 emotions including Ekman's six basic emotions ('happiness', 'sadness', 'surprise', 'disgust', 'anger', 'fear') along with 'neutral'. This adds novelty to our study, and also our analysis of the data, owing to the differences in emotion recognition and its features that come from the cultural differences. Sat, 01 May 2021 00:00:00 GMT http://repository.iiitd.edu.in/xmlui/handle/123456789/1013 2021-05-01T00:00:00Z