PolySense: Augmenting Textiles with Electrical Functionality using In-Situ Polymerization

Honnet, Cédric; Perner-Wilson, Hannah; Teyssier, Marc; Fruchard, Bruno; Steimle, Jürgen; Baptista, Ana Catarina; Strohmeier, Paul

doi:10.1145/3313831.3376841

Cited by 62 publications

(20 citation statements)

References 45 publications

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“…More specifically, we optimized Dunne's agar bioplastic recipe to create Alganyl, a biomaterial that aligns itself with works such as AlgiKnit's seaweed-based bioplastic yarn [3], GreenGear's sugarcane-based bioplastic "EcoRain Poncho" [12], and McCurdy's algae-based bioplastic "Carbon-Negative" raincoat [26]. Alganyl differentiates itself from these works by incorporating thermochromic and photochromic pigments, which are commonly used in the e-textiles community to create a wide range of interactive wearables [15,25,41,45,47,74,79]. These pigments make Alganyl more interactive without impacting its ability to biodegrade [10,19].…”

Section: Diy Biomaterialsmentioning

confidence: 99%

Designing with Alganyl

Bell¹,

Naimi

McQuaid

et al. 2022

Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Section: Diy Biomaterialsmentioning

confidence: 99%

Designing with Alganyl

Bell¹,

Naimi

McQuaid

et al. 2022

Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

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“…• Gesture following and interaction with system Sensor layout and materials: It was important to provide sensors with robust behaviour, delivering repeatable electrical and mechanical performance. Further material experimentation was conducted in parallel, studying in-situ polymerisation [7] 5 for customising sensor placement and aesthetics. The microcontroller was securely fastened on the jacket and fitted with snap buttons.…”

Section: Improved Prototype For Interaction Explorationmentioning

confidence: 99%

An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance

Greinke

Petri

Vierne³

et al. 2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

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We present an overview and initial results from a project bringing together orchestra conducting, e-textile material studies, costume tailoring, low power computing and machine learning (ML). We describe a wearable interactive system comprising of textile sensors embedded into a suit, low-power transmission and gesture recognition using creative computing tools. We introduce first observations made during the semi-participatory approach, which placed the conductor's movements and personal performative expressiveness at the centre for technical and conceptual development. The project is a two-month collaboration between the Verworner-Krause Kammerorchester (VKKO), technical and design researchers, currently still running. Preliminary analyses of the data recorded while the conductor is wearing the prototype demonstrate that the developed system can be used to robustly decode a large number of conducting and performative movements. In particular the user interface of the ML system is designed such that the training of the algorithms can be intuitively controlled by the conductor, in sync with the MIDI clock. CCS CONCEPTS• Human-centered computing → Interactive systems and tools.

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“…The pressure sensor was custom made of Eeonyx non-woven piezo-resistive fabric (cf. [25]), so it could be easily integrated into the sole of the shoe. The update rate is limited to the speed of the ADC conversion which exceeds 25k conversions per second.…”

Section: Hardwarementioning

confidence: 99%

bARefoot

Strohmeier¹,

Güngör²,

Herres³

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

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Many features of materials can be experienced through tactile cues, even using one's feet. For example, one can easily distinguish between moss and stone without looking at the ground. However, this type of material experience is largely not supported in AR and VR applications. We present bARefoot, a prototype shoe providing tactile impulses tightly coupled to motor actions. This enables generating virtual material experiences such as compliance, elasticity, or friction. To explore the parameter space of such sensorimotor coupled vibrations, we present a design tool enabling rapid design of virtual materials. We report initial explorations to increase understanding of how parameters can be optimized for generating compliance, and to examine the effect of dynamic parameters on material experiences. Finally, we present a series of use cases that demonstrate the potential of bARefoot for VR and AR.

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PolySense: Augmenting Textiles with Electrical Functionality using In-Situ Polymerization

Cited by 62 publications

References 45 publications

Designing with Alganyl

Designing with Alganyl

An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance

bARefoot

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