Augmented Reality (AR) especially when used with mobile devices enables the creation of applications that can help students in chemistry learn anything from basic to more advanced concepts. In Chemistry specifically, the 3D representation of molecules and chemical structures is of vital importance to students and yet when printed in 2D as on textbooks and lecture notes it can be quite hard to understand those vital 3D concepts. ARsome Chemistry is an app that aims to utilize AR to display complex and simple molecules in 3D to actively teach students these concepts through quizzes and other features. The ARsome chemistry app uses image target recognition to allow students to hand-draw or print line angle structures or chemical formulas of molecules and then scan those targets to get 3D representation of molecules. Students can use their fingers and the touch screen to zoom, rotate, and highlight different portions of the molecule to gain a better understanding of the molecule's 3D structure. The ARsome chemistry app also features the ability to utilize image recognition to allow students to quiz themselves on drawing line-angle structures and show it to the camera for the app to check their work. The ARsome chemistry app is an accessible and cost-effective study aid platform for students for on demand, interactive, 3D representations of complex molecules.

Video playback is currently the primary method coaches and athletes use in sports training to give feedback on the athlete's form and timing. Athletes will commonly record themselves using a phone or camera when practicing a sports movement, such as shooting a basketball, to then send to their coach for feedback on how to improve. In this work, we present Augmented Coach, an augmented reality tool for coaches to give spatiotemporal feedback through a 3-dimensional point cloud of the athlete. The system allows coaches to view a pre-recorded video of their athlete in point cloud form, and provides them with the proper tools in order to go frame by frame to both analyze the athlete's form and correct it. The result is a fundamentally new concept of an interactive video player, where the coach can remotely view the athlete in a 3-dimensional form and create annotations to help improve their form. We then conduct a user study with subject matter experts to evaluate the usability and capabilities of our system. As indicated by the results, Augmented Coach successfully acts as a supplement to in-person coaching, since it allows coaches to break down the video recording in a 3-dimensional space and provide feedback spatiotemporally. The results also indicate that Augmented Coach can be a complete coaching solution in a remote setting. This technology will be extremely relevant in the future as coaches look for new ways to improve their feedback methods, especially in a remote setting.

Video playback is currently the primary method coaches and athletes use in sports training to give feedback on the athlete’s form and timing. Athletes will commonly record themselves using a phone or camera when practicing a sports movement, such as shooting a basketball, to then send to their coach for feedback on how to improve. In this work, we present Augmented Coach, an augmented reality tool for coaches to give spatiotemporal feedback through a 3-dimensional point cloud of the athlete. The system allows coaches to view a pre-recorded video of their athlete in point cloud form, and provides them with the proper tools in order to go frame by frame to both analyze the athlete’s form and correct it. The result is a fundamentally new concept of an interactive video player, where the coach can remotely view the athlete in a 3-dimensional form and create annotations to help improve their form. We then conduct a user study with subject matter experts to evaluate the usability and capabilities of our system. As indicated by the results, Augmented Coach successfully acts as a supplement to in-person coaching, since it allows coaches to break down the video recording in a 3-dimensional space and provide feedback spatiotemporally. The results also indicate that Augmented Coach can be a complete coaching solution in a remote setting. This technology will be extremely relevant in the future as coaches look for new ways to improve their feedback methods, especially in a remote setting.

Video playback is currently the primary method coaches and athletes use in sports training to give feedback on the athlete’s form and timing. Athletes will commonly record themselves using a phone or camera when practicing a sports movement, such as shooting a basketball, to then send to their coach for feedback on how to improve. In this work, we present Augmented Coach, an augmented reality tool for coaches to give spatiotemporal feedback through a 3-dimensional point cloud of the athlete. The system allows coaches to view a pre-recorded video of their athlete in point cloud form, and provides them with the proper tools in order to go frame by frame to both analyze the athlete’s form and correct it. The result is a fundamentally new concept of an interactive video player, where the coach can remotely view the athlete in a 3-dimensional form and create annotations to help improve their form. We then conduct a user study with subject matter experts to evaluate the usability and capabilities of our system. As indicated by the results, Augmented Coach successfully acts as a supplement to in-person coaching, since it allows coaches to break down the video recording in a 3-dimensional space and provide feedback spatiotemporally. The results also indicate that Augmented Coach can be a complete coaching solution in a remote setting. This technology will be extremely relevant in the future as coaches look for new ways to improve their feedback methods, especially in a remote setting.