Virtual reality (VR) technology has matured to a point where humans can navigate in virtual scenes; however, providing them with a comfortable fully immersive role in VR remains a challenge. Currently available sensing solutions do not provide ease of deployment, particularly in the seated position due to sensor placement restrictions over the body, and optic-sensing requires a restricted indoor environment to track body movements. Here we present a 52-sensor laden garment interfaced with VR, which offers both portability and unencumbered user movement in a VR environment. This chapter addresses the systems engineering aspects of our pervasive computing solution of the interactive sensorized 3D VR and presents the initial results and future research directions. Participants navigated in a virtual art gallery using natural body movements that were detected by their wearable sensor shirt and then mapped the signals to electrical control signals responsible for VR scene navigation. The initial results are positive, and offer many opportunities for use in computationally intelligentman-machine multimedia control.
Sensorized garment augmented 3d pervasive virtual reality system
TOGNETTI, ALESSANDRO;DE ROSSI, DANILO EMILIO
2010-01-01
Abstract
Virtual reality (VR) technology has matured to a point where humans can navigate in virtual scenes; however, providing them with a comfortable fully immersive role in VR remains a challenge. Currently available sensing solutions do not provide ease of deployment, particularly in the seated position due to sensor placement restrictions over the body, and optic-sensing requires a restricted indoor environment to track body movements. Here we present a 52-sensor laden garment interfaced with VR, which offers both portability and unencumbered user movement in a VR environment. This chapter addresses the systems engineering aspects of our pervasive computing solution of the interactive sensorized 3D VR and presents the initial results and future research directions. Participants navigated in a virtual art gallery using natural body movements that were detected by their wearable sensor shirt and then mapped the signals to electrical control signals responsible for VR scene navigation. The initial results are positive, and offer many opportunities for use in computationally intelligentman-machine multimedia control.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
