Walk in Place Based VR Locomotion System
Author
Kokane, Sanket Suresh
Term
4. term
Publication year
2023
Submitted on
2023-06-02
Abstract
VR locomotion often causes cybersickness, shortening sessions and breaking immersion because many systems move the viewpoint without matching bodily cues. This thesis investigates a walk-in-place (WiP) solution that lets users simulate walking while standing still. To avoid costly treadmills or wearables and the limits of purely rule-based, vision-only methods, it builds a webcam-based WiP system that detects walking with Mediapipe Pose estimation and a deep learning model, integrated into a Unity VR prototype. The design explores manual landmark processing and LSTM-based motion classification, and connects real-time pose inference to an in-scene locomotion controller. A user-study setup on flat and sloped terrains compares the WiP prototype with conventional controller-based movement, evaluating user acceptance, experience, and cybersickness using standardized questionnaires. The provided excerpt documents the motivation, related work, methodology, and test setup; specific quantitative results are not included here.
VR-lokomotion giver ofte cybersyge, hvilket forkorter sessioner og svækker indlevelsen, fordi mange systemer flytter synsfeltet uden at matche kroppens sanser. Denne afhandling undersøger en gå-på-stedet (Walk-in-Place, WiP) løsning, der lader brugere simulere gang, mens de står stille. For at undgå dyre løbebånd eller bærbare sensorer og begrænsningerne ved rent regelbaserede, synsbaserede metoder udvikles et webcam-baseret WiP-system, der opdager gang med Mediapipe Pose-estimering og en dyb læringsmodel, integreret i en Unity VR-prototype. Designet omfatter både manuel bearbejdning af kropslandemærker og LSTM-baseret bevægelsesklassifikation samt en realtidsforbindelse mellem poseinferens og en lokomotionskontroller i scenen. En brugerstudie-opsætning på flade og skrånende terræner sammenligner WiP-prototypen med traditionel controller-baseret bevægelse og vurderer brugeraccept, oplevelse og cybersyge ved hjælp af standardiserede spørgeskemaer. Det medfølgende uddrag dokumenterer motivation, relateret arbejde, metode og testopsætning; konkrete kvantitative resultater fremgår ikke af de viste sider.
[This apstract has been generated with the help of AI directly from the project full text]
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