Classification of body gestures is vital in HCI research as it benefits researchers with appropriate gestures considering user behavior, mental model, and constraints. This work presents the gesture classification of 87 unique gestures identified through an elicitation study for object selection in Virtual Reality (VR). In addition to adopting existing gesture taxonomies, we propose two new taxonomies based on hand dominance- (i) dominant hand only (ii) non-dominant hand first and (iii) equal and simultaneous hand dominance and multi-body part movement gestures - (i) simultaneous and (ii) sequential. We believe that the proposed classification and taxonomies will assist designers and researchers in designing effective full-body gestural interfaces, including VR interfaces. © 2021 ACM.