RAN4model_dfv4p4 provides you with the convenient synchronized format for downstream tasks. In this document, we take one subject in scene4 from one outdoor sequence as an example to demonstrate the format.Detailed data description is shown in: https://github.com/bryanbocao/vitag/blob/main/DATA.md.Official Dataset (Raw Data) link: https://sites.google.com/winlab.rutgers.edu/vi-fidataset/home.paperswithcode link: https://paperswithcode.com/dataset/vi-fi-multi-modal-dataset.The related papers were accepted in SECON 2022:Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Krist

RAN4model_dfv4p4 (OneDrive data source) provides you with the convenient synchronized format for downstream tasks. In this document, we take one subject in scene4 from one outdoor sequence as an example to demonstrate the format.Detailed data description is shown in: https://github.com/bryanbocao/vitag/blob/main/DATA.md. Official Dataset (Raw Data) link: https://sites.google.com/winlab.rutgers.edu/vi-fidataset/home. paperswithcode link: https://paperswithcode.com/dataset/vi-fi-multi-modal-dataset. The related papers were accepted in SECON 2022: Bryan Bo Cao, Abrar Alali, Ha

RAN4model_dfv4p4 (Google Drive data source) provides you with the convenient synchronized format for downstream tasks. In this document, we take one subject in scene4 from one outdoor sequence as an example to demonstrate the format. Detailed data description is shown in: https://github.com/bryanbocao/vitag/blob/main/DATA.md. Official Dataset (Raw Data) link: https://sites.google.com/winlab.rutgers.edu/vi-fidataset/home. paperswithcode link: https://paperswithcode.com/dataset/vi-fi-multi-modal-dataset. The related papers were accepted in SECON 2022: Bryan Bo Cao, Abrar

The Vi-Fi dataset is a large-scale multi-modal dataset that consists of vision, wireless and smartphone motion sensor data of multiple participants and passer-by pedestrians in both indoor and outdoor scenarios. In Vi-Fi, vision modality includes RGB-D video from a mounted camera. Wireless modality comprises smartphone data from participants including WiFi FTM and IMU measurements. The presence of Vi-Fi dataset facilitates and innovates multi-modal system research, especially, vision-wireless sensor data fusion, association and localization. (Data collection was in accordance with IR