Simultaneous Energy Harvesting and Hand Gesture Recognition in Large Area Monolithic Dye-Sensitized Solar Cells
Gethin Thomas, Adam Pockett, Kris Seunarine, and Matt Carnie

TL;DR
This paper demonstrates that monolithic dye-sensitized solar cells can simultaneously harvest energy and recognize hand gestures with high accuracy, enabling self-powered, interactive IoT devices in ambient light.
Contribution
It introduces a novel approach using a single monolithic DSSC with machine learning to recognize gestures, eliminating the need for multiple sensors.
Findings
Achieved 97.71% gesture recognition accuracy.
Demonstrated dual functionality of energy harvesting and gesture recognition.
Showed DSSCs are suitable for self-powered interactive IoT applications.
Abstract
Internet of Things (IoT) devices have become prevalent, embedding intelligence into our environment. It is projected that over 75 billion IoT devices will be connected by 2025 worldwide, with the majority being operated indoors. Dye-sensitized solar cells (DSSC) have recently been optimized for ambient light, having the capabilities of providing sufficient energy for self-powered IoT devices. Interaction with digital technologies, termed Human Computer Interaction (HCI), is often achieved via physical mechanisms (e.g. remote controls, cell phones) which can hinder the natural interface between users and IoT devices, a key consideration for HCI. What if the solar cell that is powering the IoT device can also recognize hand gestures which would allow the user to naturally interact with the system? Previous attempts to achieve this have necessarily employed an array of solar…
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Taxonomy
TopicsInteractive and Immersive Displays · Tactile and Sensory Interactions · Advanced Sensor and Energy Harvesting Materials
