Identification of anatomical landmarks for intelligent postural sensing

The paper addresses conceptual outlines of non-invasive identification of human back´s shape and corresponding spinal deformities affected by bad postural modes. The methodology of intelligent postural sensing (IPS) is based on application of wireless on-body sensors, 3D surface shape of human back (trunk), 3D kinematic model of the spine, and Internet based scoliosis information system. Essentially, the IPS system monitor posture and back shape through continuous computational analysis of anatomical landmarks´ distances gathered from the network of sensors and matching with the model of spine. It is aimed in prevention and (customized) rehabilitation of spinal deformities caused by bad posturing.