arXiv AI By Aleksandrs Vali\v{s}evskis, Aleksandrs Okss, Inese T\=i\c{g}ere, Aleksejs Kata\v{s}evs, Dina Bethere, Anete Hofmane, Airisa \v{S}teinberga, Und\=ine Gavri\c{l}enko, Santa Me\c{l}\c{k}e, Lucie Matou\v{s}kov\'a

Design and Validation of a Lightweight 1D CNN for Affective Touch Classification in Soft Plush Companions

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arXiv:2607. 16196v1 Announce Type: new Abstract: Soft, sensorized companions offer a physically safe and emotionally intuitive interface for socially assistive technologies, yet their deformability and multichannel tactile sensing complicate the robust interpretation of human affect.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI
Jun 30

Tactile Gesture Recognition with Built-in Joint Sensors for Industrial Robots

arXiv:2508. 12435v2 Announce Type: replace-cross Abstract: While gesture recognition using vision or robot skins is an active research area in Human-Robot Collaboration (HRC), this paper explores deep learning methods relying solely on a robot's built-in joint sensors, eliminating the need for external sensors.

By Deqing Song, Weimin Yang, Maryam Rezayati, Hans Wernher van de Venn
arXiv Machine Learning
Jun 26

State-Specific Respiratory Signatures for Affective and Stress Recognition: Interpretable Respiratory Markers, Autocorrelation Lags, and Compact CNN Models

arXiv:2606. 26723v1 Announce Type: cross Abstract: Respiratory activity is a direct and interpretable physiological channel for wearable stress and affective-state recognition, yet many studies emphasize classification accuracy without identifying which respiratory properties separate different states.

By Andrei Velichko, Mehmet Tahir Huyut