All Projects → NON906 → HandMR

NON906 / HandMR

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スマホVR(cardboard)・だんグラ上で、ハンドトラッキングを行うためのUnityアセット

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HandMR

English version is here.

スマホでMRを体験できるだんグラ上で、ハンドトラッキングを行うためのアセットです。 スマホVR(cardboardなど)にも対応しております。

ARM64でARCoreに対応したAndroid上やARKitに対応したiOS上で動作します。

AR Foundation Remote 2によるリモートデバッグにも対応しております。

バージョン2020.3.12f1のUnityで動作確認しています。

unitypackageファイルはこちらからダウンロードできます。

Asset Storeでも配布しております。

アセットの使用方法

  1. プロジェクトをgitでclone、もしくはunitypackageファイルをインポート

  2. 設定画面が開く(開かない場合はTools→HandMR→Show Start Dialog Windowから開く)ので、内容を確認して実行

  3. Assets/HandMR/PrefabsにあるHandMRManagerをシーン上に配置

  4. (必要であれば)HandMRManagerURPにSettingFromPlayerPrefsをアタッチ

最新バージョンで、新しいInput System(及びURP)に対応いたしました。
これに伴い、XR-Interaction-Toolkitといったものにも通常のXRデバイスと同様に扱うことが出来るようになりました。
以下はXR-Interaction-Toolkitのサンプルを動作させる手順になります。

  1. 以下のプロジェクトをクローンするか、ダウンロードする
    https://github.com/Unity-Technologies/XR-Interaction-Toolkit-Examples

  2. プロジェクトを開き、このアセットをインポートする

  3. 設定画面が開く(開かない場合はTools→HandMR→Show Start Dialog Windowから開く)ので、内容を確認して実行

  4. XR_UniversalRenderPipelineAsset_Rendererを開き、Renderer FeaturesにAR Background Renderer Featureを追加

  5. WorldInteractionDemoシーンを開く

  6. Assets/HandMR/PrefabsにあるHandMRManagerURPとHandAreaをシーンに追加

  7. Assets/Samples/XR Interaction Toolkit/1.0.0-pre.6/Default Input Actions/XRI Default Input Actions.inputactionsをAssets/InputActions/HandMR XRI Default Input Actions.inputactionsを参考に変更

  8. (必要であれば)HandMRManagerURPにSettingFromPlayerPrefsをアタッチ

ライセンス

A. HandMR MIT License

Copyright (c) 2020 NON906

B. MediaPipe Apache2.0

Copyright 2019 The MediaPipe Authors.

C. OpenCV 3-clause BSD License

Copyright (C) 2000-2019, Intel Corporation, all rights reserved.

Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.

Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved.

Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.

Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved.

Copyright (C) 2015-2016, Itseez Inc., all rights reserved.

D. HologlaSDK-Unity MIT License

Copyright (c) 2019 Hologram Co., Ltd.

E. hand-gesture-recognition-using-mediapipe Apache2.0

Author: Kazuhito Takahashi

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