Microgestures are subtle finger interactions that can often be performed eyes-free through proprioception. Yet most microgesture sensing systems treat them as discrete gesture classes, while continuous input, such as sliding the thumb along the index finger to control volume, requires stable position mapping over time and is harder to sense precisely. We introduce eHenna, a conductive-ink-based approach for prototyping geometry-defined finger input on skin and glove substrates. In eHenna, finger contact perturbs a known conductive layout, allowing drawn geometries to support both discrete events such as touch, tap, and hold, and continuous controls such as strokes and slider-like movement. This poster frames eHenna as a three-dimensional design space: layout topology (Region, Path, Network), environmental constraint from bare skin to medical and EVA-analog gloves, and composition of discrete and continuous inputs into sequential or interwoven phrases. We present eHenna as a topology-centered design space and taxonomy for discussing how drawn conductive layouts shape possible interaction vocabularies.
Attygalle, N. (2026, May 30). eHenna: A Topology-Centered Taxonomy of Geometry-Defined Finger Input on Skin and Glove Conductive Interfaces. Companion Proceedings of the 18th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS Companion ’26). Published. Engineering Interactive Computing Systems (EICS Companion ’26), Patras, Greece. https://doi.org/10.1145/3807968.3817087 (Original work published 2026)