Datasets

  • Multimodal Dataset of Lightness and Fragility


    The dataset is composed of short segments containing full-body movements of two expressive qualities: Lightness and Fragility.
    In total we collected 150 segments by 13 participants. The data consists of multiple 3D accelerometer data, video channels, respiration audio and EMG signals.
    The data (video, audio, IMU, EMG) can be freely used for research purposes. It can be downloaded here.

    The dataset is a part of the EU Project DANCE n 645553. DANCE investigates how affective and relational qualities of body movement can be expressed, represented, and analyzed by the auditory channel.

    More detail in the paper:
    Niewiadomski, R., Mancini, M., Piana, S., Alborno, P., Volpe, G., Camurri, A., Low-Intrusive Recognition of Expressive Movement Qualities, Proceedings of the 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, UK, November 13–17, ACM, New York, NY, USA, pages 230-237, 2017.
    doi: 10.1145/3136755.3136757

  • MMLI - Multimodal Multiperson Corpus of Laughter in Interaction


    The Multimodal and Multiperson Corpus of Laughter in Interaction (MMLI) contains data of hilarious laughter with the focus on full-body movements. It contains nearly 500 segments of induced and interactive laughs from human triads. The dataset is composed of full-body motion capture data of subjects who participated in several social activities, e.g., playing social games such as "barbichette" or pictionary game, etc. 16 people partcipated in the recordings. The total duration of the segments is more than 70 minutes.
    The data consists of 3D body position information and multiple video channels. The motion data can be freely used for research purposes. It can be downloaded here.

    The corpus is a part of the EU FET Project ILHAIRE n 270780 dedicated to laughter analysis and synthesis.

    More detail in the paper:
    Niewiadomski, R., Mancini, M., Varni, G., Volpe, G., Camurri, A., Automated Laughter Detection from Full-Body Movements, IEEE Transactions on, vol.46, no.1, pages 113-123, Feb. 2016.
    doi: 10.1109/THMS.2015.2480843