Poster Abstract: Realistic Multiuser, Multimodal (IMU, Acoustic) HAR Data Generation through Single User Data Augmentation
Soumyajit Chatterjee, Arun Pratap Singh, Bivas Mitra, Sandip Chakraborty · 2022
Multiuser activity recognition has been the core of different context-aware services. However, the development of such services is often plagued by the dearth of multiuser datasets. This paper presents a strategy for generating synthetic multiuser datasets by augmenting existing real-life datasets. The described strategy exploits pre-cise time synchronization and well-known audio augmentation approaches to generate a multimodal activity recognition dataset with locomotive and acoustic signatures.