Gesturebaserte

Gesturebaserte refers to interfaces and systems that accept commands through human body movements rather than physical contact. They rely on recognition of gestures, typically performed with hands, arms, head, or whole body, and can include facial expressions. They are used to facilitate interaction with computers, consumer devices, and vehicles.

Input modalities include vision-based methods using cameras or depth sensors to track movement, sensor-based methods using wearables like accelerometers and gyroscopes, and hybrid approaches combining both. Recognition pipelines involve capture, tracking, classification, and mapping to actions.

History and development have roots in early interactive computing that used data gloves and infrared markers. Modern gesture recognition gained momentum with advances in computer vision and depth sensing, notably with devices such as the Kinect system introduced around 2010 and the Leap Motion tracker, as well as smartphones with front-facing cameras that enable gesture features.

Applications span gaming and entertainment, virtual reality and augmented reality, smart TVs and home automation, automotive gesture controls, and accessibility tools such as sign-language interpretation and hands-free operation. Gesture-based systems are used to improve user experience, accessibility, and control in environments where physical contact is impractical or undesirable.

Challenges and considerations include achieving reliable accuracy and low latency, managing occlusion and variable lighting, mitigating user fatigue from repeated gestures, and addressing privacy and consent concerns. Cultural differences in gesture meaning, device cost, and power constraints also influence design and adoption. The term gesturebaserte is commonly used in Norwegian discussions of such interfaces, paralleling the English term gesture-based.