Results 141 to 150 of about 77,469 (260)

Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls. [PDF]

Sci Rep
Idrisoglu A, Behrens A.
europepmc   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Performance analysis of various codec of voice traffic in IEEE 802.22 cognitive radio network module using NETSIM. [PDF]

Sci Rep
Gowthaman S, Bhuvaneswari PTV, Ramesh P, Nagavel V.   +3 more
europepmc   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, EarlyView.
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source

Small‐Scale Magnetic Peristaltic Soft Robot With Mobility and Transport Capabilities

Advanced Intelligent Systems, EarlyView.
This study introduces a miniature, untethered soft magnetic microrobot with peristaltic capabilities for both locomotion and cargo transport. Eight helically magnetized elastomeric strips deform under rotating fields (10–80 mT, 1–5 Hz), enabling movement across rods and lumina at up to 4.1 body lengths min‐¹.
Mohammad Hasan Dad Ansari, Linda Paternò, Chenjun Wu, Veronica Iacovacci, Arianna Menciassi   +4 more
wiley   +1 more source

From internal echoes to sharing experiences: transformative learning with voice apps to enhance transgender care literacy in medical students. [PDF]

Front Public Health
Gahbauer S, Sherafat S, Wagner-Menghin M.   +2 more
europepmc   +1 more source

Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves

Advanced Intelligent Systems, EarlyView.
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu, Tuan Nghia Nguyen, Minh‐Thanh Le   +2 more
wiley   +1 more source

Verification of the factors of individuality through avatar's speech generation system. [PDF]

Sci Rep
Komai Y, Uchida T, Kamide H, Ishiguro H.
europepmc   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

Coordination dynamics in singing with human and artificial partners: the role of visual information. [PDF]

Front Cognit
Nishiyama R, Nonaka T.
europepmc   +1 more source