Technical framework demonstrates gravity-coupled event sampling and hybrid tracking in spatial interfaces, suggesting low-latency and fatigue-free interaction.
This treatise formalizes a novel paradigm for human-computer interaction, moving beyond the industry-standard dogma of high-rate digital polling (120 Hz--240 Hz) in spatial interfaces. By coupling a handheld interface to the geodetic gravitational field, classical mechanics acts as a natural analog preprocessing layer. We propose that the ultimate signal filter is the human operator's internalized pendular action, which produces a highly structured signal that is effortlessly decoded by AI. Continuous human movement is efficiently represented by sampling exclusively at dynamically salient events called Nadires, while the intervals between them are reconstructed via a Continuous Complement. Crucially, we demonstrate that the Kinetic Nadir is dynamic: by applying external acceleration or deceleration, the operator shifts the nadir freely in 3D space. Furthermore, at the pendular turning points, the system experiences momentary weightlessness, allowing radical directional changes with near-zero grip effort. We introduce the Differential Inertial Representation Hypothesis (DIRH) using the PIP 8.2 reference archetype (8.2 cm, 16 g). To eliminate cumulative inertial drift, we specify a hybrid tracking architecture combining high-rate IMU telemetry with optical motion capture of an entire projected laser beam. Finally, we outline a 5-phase procedural training protocol designed for future audiovisual validation, establishing a hardware-agnostic foundation for low-latency, fatigue-free spatial interaction.
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André Luiz Trindade (2026) studied this question.
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