RechtsHandSystem

RechtsHandSystem (RHS) is a framework and platform used to model, analyze, and implement right-hand oriented control in human–machine interfaces and robotic systems. The name combines the German word rechts (right) with hand, signaling a design emphasis on the right-hand dimension of perception and motor control.

Origins and scope: The concept emerged in interdisciplinary work spanning ergonomics, neuroscience, and robotics, to capture how right-hand bias affects device design, control mapping, and interaction ergonomics. RHS is used to compare right-hand focused configurations with left-hand or ambidextrous alternatives and to promote consistent design practices across tools that rely on hand input or actuation.

Architecture and components: A typical RHS implementation includes sensory input modules (such as motion capture, force sensing, and haptic feedback), a control layer that maps real-time right-hand actions to device commands, a cognitive or contextual layer for task modeling and intent inference, and an actuation/output layer (grippers, vibrotactile devices, or other actuators). The system prioritizes latency reduction, right-hand alignment, and user comfort.

Applications: RHS concepts have been explored in prosthetics, industrial robotics, virtual reality controllers, and assistive devices for people with motor impairments. They aim to optimize grip dynamics, control fidelity, and ergonomic fit by aligning device behavior with common right-hand usage patterns.

Standards and evaluation: There is no universal standard for RHS. Researchers compare RHS-enabled systems with left-handed or ambidextrous baselines using metrics such as task completion time, error rate, perceived workload, and user satisfaction. Challenges include individual variability in right-hand performance and integration with diverse hardware platforms.

See also: Left-Hand System, human–computer interaction, haptics.