@article{martin_holder_nichols_park_roberts_bozkurt_2022, title={Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation}, DOI={10.1145/3565995.3566025}, abstractNote={This paper presents a preliminary effort to evaluate alternative sensing modalities for automated, high-resolution tracking of dog tail position and movement as a behavioral communication tool. We compare two different methods: (1) inertial measurement devices placed on dog outfits, and (2) remotely positioned cameras supported with custom vision-based tail wag detection algorithms. The small size and non-invasiveness of the inertial sensors and the non-contact and remote nature of the camera system both promote subject comfort and continuous signal acquisition while not affecting the mechanics of dog tail movement. The preliminary findings support that the higher-resolution and continuous interpretations on the dog tail movements and positions can pave the way for assessing their emotional states and designing more appropriate training and play environments.}, journal={NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022}, author={Martin, Devon and Holder, Timothy and Nichols, Colt and Park, Jeremy and Roberts, David and Bozkurt, Alper}, year={2022} }
 @article{graham_park_billings_hulse-kemp_haigler_lobaton_2022, title={Efficient imaging and computer vision detection of two cell shapes in young cotton fibers}, volume={11}, ISSN={["2168-0450"]}, url={https://doi.org/10.1002/aps3.11503}, DOI={10.1002/aps3.11503}, abstractNote={Abstract}, journal={APPLICATIONS IN PLANT SCIENCES}, author={Graham, Benjamin P. and Park, Jeremy and Billings, Grant T. and Hulse-Kemp, Amanda M. and Haigler, Candace H. and Lobaton, Edgar}, year={2022}, month={Nov} }