Subramanian Chidambaram

Subramanian Chidambaram

Subramanian Chidambaram is a Ph.D student in the School of Mechanical Engineering at Purdue University. Prior to joining the C Design lab, he obtained his Master’s from the School of Aeronautics and Astronautics also from Purdue and a Bachelor’s degree in Mechanical engineering from Vellore Institute of Technology, India. His current research interest involves exploring Human-Computer Interactions and Digital interface development for Augmented Reality (AR), embedding Artificial Intelligence (AI) in AR interface development, Skill transfer through AR, tangible interfaces and geometric modeling. In the past, he has also conducted research on developing tools that guide novices to design analyze and fabricate functional load-bearing structures.
ProcessAR: An augmented reality-based tool to create in-situ procedural 2D/3D AR Instructions

ProcessAR: An augmented reality-based tool to create in-situ procedural 2D/3D AR Instructions

Subramanian Chidambaram, Hank Huang, Fengming He, Xun Qian, Ana M Villanueva, Thomas S Redick, Wolfgang Stuerzlinger, Karthik Ramani
In Proceedings of the Designing Interactive Systems Conference

Augmented reality (AR) is an efficient form of delivering spatial information and has great potential for training workers. However, AR is still not widely used for such scenarios due to the technical skills and expertise required to create interactive AR content. We developed ProcessAR, an AR-based system to develop 2D/3D content that captures subject matter expert’s (SMEs) environment object interactions in situ. The design space for ProcessAR was identified from formative interviews with AR programming experts and SMEs, alongside a comparative design study with SMEs and novice users. To...

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LightPaintAR: Assist Light Painting Photography with Augmented Reality

LightPaintAR: Assist Light Painting Photography with Augmented Reality

Tianyi Wang, Xun Qian, Fengming He, Karthik Ramani
In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Light painting photos are created by moving light sources in mid-air while taking a long exposure photo. However, it is challenging for novice users to leave accurate light traces without any spatial guidance. Therefore, we present LightPaintAR, a novel interface that leverages augmented reality (AR) traces as a spatial reference to enable precise movement of the light sources. LightPaintAR allows users to draft, edit, and adjust virtual light traces in AR, and move light sources along the AR traces to generate accurate light traces on photos. With LightPaintAR, users can light paint complex...

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CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

Tianyi Wang*, Xun Qian*, Fengming He, Xiyun Hu, Ke Huo, Yuanzhi Cao, Karthik Ramani
In Proceedings of the 2020 UIST 33rd ACM User Interface Software and Technology Symposium

Recognition of human behavior plays an important role in context-aware applications. However, it is still a challenge for end-users to build personalized applications that accurately recognize their own activities. Therefore, we present CAPturAR, an in-situ programming tool that supports users to rapidly author context-aware applications by referring to their previous activities. We customize an AR head-mounted device with multiple camera systems that allow for non-intrusive capturing of user's daily activities. During authoring, we reconstruct the captured data in AR with an animated avatar...

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