This dataset contains video-clips of five volunteers developing daily life activities. Each video-clip is recorded with a Far InfraRed (FIR) camera and includes an associated file which contains the three-dimensional and two-dimensional coordinates of the main body joints in each frame of the clip. This way, it is possible to train human pose estimation networks using FIR imagery.It contains over 250.000 2D and 3D human poses and their corresponding FIR images. The dataset is recorded by 5 volunteers (4 males, 1 female) engaged in 27 different action classes, including falls of different kinds.The FIR video-clips are recorded at 23.98 frames per second with a resolution of 480 x 640 pixels. The annotations associated with them include accurate 3D positions of the 19 main body joints provided by a high-speed motion capture system and their projections onto the image plane.