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Hand Wave Review

Hand Wave is an AI-based application that enables users to control their computer using hand gestures, leveraging Google MediaPipe for robust hand and face recognition.

shipped Aug 3, 2026freemium
Hand Wave — product screenshot

Why it matters

1Utilizes Google MediaPipe for hand and face recognition.
2Supports 18 gestures from the HaGRID dataset with 0.86 test accuracy as of January 2024.
3Offers cross-platform compatibility on Windows, macOS, and Linux via Electron.
4Includes a macro maker to map gestures to keyboard actions and mouse controls.

About Hand Wave

Leadership

Aadi Sanghvi
GitHub

Specs

GitHub

View Repository →

overview

What is Hand Wave?

Hand Wave is an AI-based application developed by JumppanenTomi that enables users to control their computer using hand gestures. It leverages Google MediaPipe for robust hand and face recognition capabilities, offering a hands-free interaction method for various computer tasks.

features

Key Features of Hand Wave

Hand Wave integrates several functionalities to provide a comprehensive gesture-controlled computing experience, focusing on accessibility and productivity.

  • Gesture Recognition: Recognizes hand gestures using MediaPipe Hands, allowing mapping to custom actions.
  • Visual Feedback: Provides real-time visual feedback for recognized gestures.
  • Hand Landmarking for Mouse Control: Enables mouse pointer control via specific gestures (e.g., 'L' gesture or 'three' from HaGRID) and left-click selections using thumbs.
  • Macro Maker: Allows users to map gestures to keyboard keys, key combinations, and to control, click, and drag the mouse.
  • Face Landmarking: Tracks facial landmarks using MediaPipe Face Mesh to prevent unintentional keystrokes by ensuring face detection.
  • Presentation Recording: Facilitates selection of windows or applications for interaction and recording, with local saving of recordings.
  • Cross-platform Compatibility: Built with Electron, ensuring deployment on Windows, macOS, and Linux operating systems.
  • HaGRID Dataset Utilization: Employs the HaGRID Dataset, expanded to 18 gestures and 18,000 images, achieving a test accuracy of 0.86 as of January 19, 2024.

use cases

Who Should Use Hand Wave?

Hand Wave is designed for individuals and professionals seeking alternative computer interaction methods, particularly those focused on hands-free operation and enhanced presentation control.

  • Users requiring computer navigation without traditional input devices.
  • Presenters needing intuitive control over presentations, including recording capabilities.
  • Individuals seeking enhanced accessibility and productivity through hands-free computer interaction.
  • Developers and enthusiasts interested in open-source gesture control applications built on MediaPipe.

how to use

How to Use Hand Wave

To begin using Hand Wave, users typically download the application from its GitHub releases page and configure gestures for computer control.

  • 1Download the Hand Wave application from its official GitHub repository or releases page.
  • 2Install the application on a compatible operating system (Windows, macOS, or Linux).
  • 3Launch Hand Wave and ensure camera access is granted for gesture recognition.
  • 4Utilize the macro maker to map desired hand gestures to specific keyboard actions or mouse controls.
  • 5Begin interacting with the computer, navigating applications, or controlling presentations using defined hand movements.

pricing

Hand Wave Pricing & Plans

Hand Wave operates on a freemium model. The core application, available via GitHub, is open-source and free to use, download, and modify. Specific paid tiers or subscription plans are not detailed in the available information.

  • Free Tier: Access to the full open-source application via GitHub, including all core features for gesture control and presentation recording.

Pros

  • +Enables hands-free computer control, enhancing accessibility and productivity.
  • +Utilizes the robust Google MediaPipe framework for accurate hand and face recognition.
  • +Offers cross-platform compatibility across Windows, macOS, and Linux.
  • +Includes a macro maker for customizable gesture-to-action mapping.
  • +Supports presentation recording with local saving capabilities.
  • +Leverages the HaGRID dataset, expanded to 18 gestures with 0.86 test accuracy.

Cons

  • −Specific user reviews beyond GitHub interactions are not widely available.
  • −Relies on camera input, which may raise privacy concerns for some users.
  • −Requires initial setup and configuration of gestures, which may have a learning curve.
  • −Performance can be dependent on camera quality and environmental lighting conditions.
  • −The open-source nature means support might primarily be community-driven rather than dedicated customer service.

Similar Tools

Hand Wave vs Competitors

Hand Wave positions itself as a versatile tool for general computer control and presentations, built on established open-source technologies. It competes with broader computer vision frameworks and specialized streaming software.

1
OBS Studio↗

Offers highly customizable and extensible capabilities for complex live productions, streaming, and recording with multiple scenes and sources.

OBS Studio provides significantly more control and flexibility for advanced setups than Hand Wave, but it has a steeper learning curve due to its extensive feature set.

2
ManyCam↗

Provides a virtual webcam with numerous effects, overlays, and the ability to switch between multiple video sources and customizable layers.

ManyCam offers similar virtual camera and overlay features to Hand Wave, but it focuses more broadly on general webcam enhancement and live streaming rather than just presentation-specific interaction.

See every Hand Wave alternative, compared→

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GitHubgithub.com/sinarck/hand-wave