IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition

1 code implementation • 1 Feb 2024 • Zikang Leng, Amitrajit Bhattacharjee, Hrudhai Rajasekhar, Lizhe Zhang, Elizabeth Bruda, Hyeokhyen Kwon, Thomas Plötz

With the emergence of generative AI models such as large language models (LLMs) and text-driven motion synthesis models, language has become a promising source data modality as well as shown in proof of concepts such as IMUGPT.

Human Activity Recognition Motion Synthesis