Results 71 to 80 of about 259,125 (322)
Ghost-in-the-Machine Reveals Human Social Signals for Human-Robot Interaction
We used a new method called Ghost-in-the-Machine (GiM) to investigate social interactions with a robotic bartender taking orders for drinks and serving them. Using the GiM paradigm allowed us to identify how human participants recognise the intentions of
Sebastian eLoth +3 more
doaj +1 more source
Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors
Robot awareness of human actions is an essential research problem in robotics with many important real-world applications, including human-robot collaboration and teaming.
Han, Fei +4 more
core +1 more source
Versatile Cell Penetrating Peptide for Multimodal CRISPR Gene Editing in Primary Stem Cells
CRISPR machinery in diverse molecular formats (DNA, RNA, and ribonucleic protein) is complexed into nanoparticles with the cell‐friendly arginine‐alanine‐leucine‐alanine (RALA) cell‐penetrating peptide. Nanoparticles are delivered to primary mesenchymal stem cells ex vivo or locally in vivo to facilitate multimodal CRISPR gene editing. This RALA‐CRISPR
Joshua P. Graham +9 more
wiley +1 more source
Actual and Imagined Movement in BCI Gaming [PDF]
Most research on Brain-Computer Interfaces (BCI) focuses\ud on developing ways of expression for disabled people who are\ud not able to communicate through other means.
Heylen, D.K.J. +3 more
core +1 more source
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
Trip hazards are a significant contributor to accidents on construction and manufacturing sites, where over a third of Australian workplace injuries occur [1].
McMahon, Sean +3 more
core +2 more sources
Plasma‐Treated Hydrogel for Combined RONS and Chemotherapy Delivery: A Proof‐of‐Concept In Ovo
This study explores plasma‐treated hydrogels (PTH) as a new way to deliver both reactive oxygen and nitrogen species and chemotherapy (Doxorubicin) directly to tumors. In ovo tests show effects after a single dose, especially in osteosarcoma tumors. Tumor weight decrease, and a resistance‐related protein is reduced.
Milica Živanić +9 more
wiley +1 more source
Predicting and Managing Spoken Disfluencies During Human-Computer Interaction
This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were collected during three empirical studies in which people spoke or wrote to a
S. Oviatt
semanticscholar +1 more source
Platinum‐Copper bimetallic nanoparticles may evolve depending on their synthesis under tumor microenvironment conditions and play a dual role as chemotherapeutic agents after releasing Cu ions and as near infrared photothermal agents with the Pt‐rich remaining frames.
Jose I. Garcia‐Peiro +7 more
wiley +1 more source
Multimodal sentiment analysis (MSA) has garnered significant attention for its immense potential in human-computer interaction. While cross-modality attention mechanisms are widely used in MSA to capture inter-modality interactions, existing methods are ...
Changqin Huang +5 more
doaj +1 more source
Facial expression recognition using visible and IR by early fusion of deep learning with attention mechanism [PDF]
Facial expression recognition (FER) has garnered significant attention due to advances in artificial intelligence, particularly in applications like driver monitoring, healthcare, and human-computer interaction, which benefit from deep learning ...
Muhammad Tahir Naseem +5 more
doaj +2 more sources

