Chewing gum reduces visually induced motion sickness

Visually induced motion sickness (VIMS) is a common side-effect of exposure to virtual reality (VR). Its unpleasant symptoms may limit the acceptance of VR technologies for training or clinical purposes. Mechanical stimulation of the mastoid and diverting attention to pleasant stimuli-like odors or music have been found to ameliorate VIMS. Chewing gum combines both in an easy-to-administer fashion and should thus be an effective countermeasure against VIMS. Our study investigated whether gustatory-motor stimulation by chewing gum leads to a reduction of VIMS symptoms. 77 subjects were assigned to three experimental groups (control, peppermint gum, and ginger gum) and completed a 15-min virtual helicopter flight, using a VR head-mounted display. Before and after VR exposure, we assessed VIMS with the Simulator Sickness Questionnaire (SSQ), and during the virtual flight once every minute with the Fast Motion Sickness Scale (FMS). Chewing gum (peppermint gum: M = 2.44, SD = 2.67; ginger gum: M = 2.57, SD = 3.30) reduced the peak FMS scores by 2.05 (SE = 0.76) points as compared with the control group (M = 4.56, SD = 3.52), p < 0.01, d = 0.65. Additionally, taste ratings correlated slightly negatively with both the SSQ and the peak FMS scores, suggesting that pleasant taste of the chewing gum is associated with less VIMS. Thus, chewing gum may be useful as an affordable, accepted, and easy-to-access way to mitigate VIMS in numerous applications like education or training. Possible mechanisms behind the effect are discussed.

A retinal circuit that vetoes optokinetic responses to fast visual motion

Optokinetic nystagmus (OKN) is a visuomotor reflex that works in tandem with the vestibulo-ocular reflex (VOR) to stabilize the retinal image during self-motion. OKN requires information about both the direction and speed of retinal image motion. Both components are computed within the retina because they are already encoded in the spike trains of the specific class of retinal output neurons that drives OKN ─ the ON direction-selective ganglion cells (ON DSGCs). The synaptic circuits that shape the directional tuning of ON DSGCs, anchored by starburst amacrine cells, are largely established. By contrast, little is known about the cells and circuits that account for the slow speed preference of ON DSGCs and, thus, of OKN that they drive. A recent study in rabbit retina implicates feedforward glycinergic inhibition as the key suppressor of ON DSGC responses to fast motion. Here, we used serial-section electron microscopy, patch recording, pharmacology, and optogenetic and chemogenetic manipulations to probe this circuit in mouse retina. We confirm a central role for feedforward glycinergic inhibition onto ON DSGCs and identify a surprising primary source for this inhibition ─ the VGluT3 amacrine cell (VG3 cell). VG3 cells are retinal interneurons that release both glycine and glutamate, exciting some neurons and inhibiting others. Their role in suppressing the response of ON DSGCs to rapid global motion is surprising. VG3 cells had been thought to provide glutamatergic excitation to ON-DSGCs, not glycinergic inhibition, and because they have strong receptive fields surrounds which might have been expected to render them unresponsive to global motion. In fact, VG3 cells are robustly activated by the sorts of fast global motion that suppress ON DSGCs and weaken optokinetic responses as revealed by dendritic Ca+2 imaging, since surround suppression is less prominent when probed with moving gratings than with spots. VG3 cells excite many ganglion cell types through their release of glutatmate. We confirmed that for one such type, the ON-OFF DSGCs, VG3 cells enhance the response to fast motion in these cells, just as they suppress it in ON DSGCs. Together, our results assign a novel function to VGluT3 cells in shaping the velocity range over which retinal slip drives compensatory image stabilizing eye movements. In addition, fast speed motion signal from VGluT3 cells is used by ON-OFF DSGCs to extend the speed range over which they respond, and might be used to shape the speed tuning or temporal bandwidth of the responses of other RGCs.

Application of 6-Dof Robot Motion Planning in Fabrication

In practical robotic construction work, such as laying bricks and painting walls, obstructing objects are encountered and motion planning needs to be done to prevent collisions. This paper first introduces the background and results of existing work on motion planning and describes two of the most mainstream methods, the potential field method, and the sampling-based method. How to use the probabilistic route approach for motion planning on a 6-axis robot is presented. An example of a real bricklaying job is presented to show how to obtain point clouds and increase the speed of computation by customizing collision and ignore calculations. Several methods of smoothing paths are presented and the paths are re-detected to ensure the validity of the paths. Finally, the flow of the whole work is presented and some possible directions for future work are suggested. The significance of this paper is to confirm that a relatively fast motion planning can be achieved by an improved algorithmic process in grasshopper.