Characteristics


At present, the three datasets have the following characteristics:

  • DS1-Internet dataset (PC-based, on-line, Internet environment, unsupervised conditions)
    • Modalities included: voice, face
    • Sessions: 2
    • Donors: 971
    • The main purpose of DS1 is to have material collected over the Internet and under uncontrolled situations. In this way, a broad target population can be reached and a quite realistic database can be acquired. The first session was necessarily guided. For the second session, the donor had the opportunity to use any Internet connection (from home, work ...).

  • DS2-Desktop dataset (PC-based, off-line, desktop environment, supervised conditions)
    • Modalities included: voice, face, signature, fingerprint, hand and iris
    • Sessions : 2
    • Donors: 667
    • The scenario considered for the acquisition of DS2 is a PC-based offline supervised scenario. It consists of an office room, with a wide desktop for the acquisition hardware and two comfortable chairs for the supervisor and the contributor.
    • The acquisition hardware includes a standard PC machine and a number of data acquisition sensors connected to the PC via USB or Bluetooth interfaces.

  • DS3-Mobile dataset (mobile device-based, indoor/outdoor environment, uncontrolled conditions)
    • Modalities included: voice, face, signature and fingerprint
    • Sessions: 2
    • Donors: 713
    • The objective of this dataset is to have a multimodal database with several modalities acquired on current mobile platforms. For audio-video recordings two different acquisition conditions are considered: indoor and outdoor, with sources of variability for each modality. For signature and fingerprint recordings only one degraded acquisition condition is considered, because controlled quality data are recorded in DS2.
    • Hardware devices used for the acquisition include a PDA HP iPAQ hx2790 (for fingerprint and signature) and a Mobile PC SAMSUNG Q1 + Web Cam (for face and voice).