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Human-to-machine Application Packet Arrival Time

Citation Author(s):
XIANGYU YU (University of Melbourne)
Submitted by:
XIANGYU YU
Last updated:
DOI:
10.21227/w9w8-cn75
Data Format:
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Abstract

<p>The uploaded datasets contain packet arrival times from six distinct human-to-machine (H2M) applications for traffic modeling collected from a VR-based H2M experimental platform. The master device comprises VR gloves, each with two orientation sensors on the thumb and wrist (9-DOF) and five flexible sensors per finger for movement and force tracking. The sensors sample at 200 Hz, transmitting control signals via a customized Bluetooth interface (30 m range). Each control instance has 93 elements. The VR application simulates touching a virtual ball, sending haptic feedback based on material type, with amplitudes from 0 to 255. Feedback is transmitted within 100 ms, with 10 ms latency and 0.9 gf max force.</p>

Instructions:

Import uploaded datasets into MATLAB, and use MATLAB built-in function gpfit to model the H2M application packet interarrival time to General Pareto (GP) distribution, and get the corresponding traffic distribution parameters.