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Shape memory alloy wire actuators for soft, wearable haptic devices

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Indhold leveret af Kai Kunze. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kai Kunze eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

This paper presents a new approach to implement wearable haptic devices using Shape Memory Alloy (SMA) wires. The proposed concept allows building silent, soft, flexible and lightweight wearable devices, capable of producing the sense of pressure on the skin without any bulky mechanical actuators. We explore possible design considerations and applications for such devices, present user studies proving the feasibility of delivering meaningful information and use nonlinear autoregressive neural networks to compensate for SMA inherent drawbacks, such as delayed onset, enabling us to characterize and predict the physical behavior of the device.

https://dl.acm.org/doi/10.1145/3267242.3267257

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41 episoder

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Manage episode 444634419 series 3605621
Indhold leveret af Kai Kunze. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Kai Kunze eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

This paper presents a new approach to implement wearable haptic devices using Shape Memory Alloy (SMA) wires. The proposed concept allows building silent, soft, flexible and lightweight wearable devices, capable of producing the sense of pressure on the skin without any bulky mechanical actuators. We explore possible design considerations and applications for such devices, present user studies proving the feasibility of delivering meaningful information and use nonlinear autoregressive neural networks to compensate for SMA inherent drawbacks, such as delayed onset, enabling us to characterize and predict the physical behavior of the device.

https://dl.acm.org/doi/10.1145/3267242.3267257

  continue reading

41 episoder

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