Advancing Human–Machine Interaction Through Intelligent Sensors and Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 1152
Special Issue Editors
Interests: information and communication technology; information technology; information technologies; digital signal processing; human–computer interaction
2. Institute of Eletronics and Informatics Engineering of Aveiro, IEETA, Aveiro University, Aveiro, Portugal
Interests: digital transformation; technology in higher education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The world continues to evolve, with the integration of intelligent sensors and advanced technologies becoming a crucial aspect of enhancing human–machine interaction. Artificial intelligence and machine learning have made significant strides in recent years, enabling machines to perform tasks with increasing efficiency and autonomy.
Advancing human–machine interaction (HMIs) through intelligent sensors and technology is at the forefront of innovation, transforming the way we interact with devices and systems. This field brings together advancements in sensor technology, machine learning, artificial intelligence, and user experience design to create interfaces that are not only more intuitive and responsive but also adaptive to individual needs and environments.
This Special Issue will publish high-quality, original research papers in the overlapping fields of
- Multimodal sensing: Combining multiple types of sensors (e.g., visual, auditory, tactile) and enabling devices to gather richer data about human intentions and environmental conditions.
- Wearable technology: Sensors that monitor physiological signals, such as heart rate, galvanic skin response, and even brain activity (EEG), enabling systems to gauge emotional states, stress levels or cognitive load.
- Adaptative user interfaces: Intelligent systems can dynamically adjust user interfaces based on sensor data, or sensors that continuously monitor user preferences and behavior patterns, enabling machines to learn and anticipate needs, offering personalized content or interfaces adjustments.
- Safety monitoring: Wearable sensors can track worker movements, posture, and environment exposure to hazardous conditions. Real-time monitoring can alert users or supervisors to potential risks, reducing workplace accidents.
- Health monitoring: From monitoring elderly patients to detecting early signs of health issues, wearable sensors can offer continuous health tracking and send alerts to healthcare providers.
- Assistive technologies: Sensors in assistive devices can enable individuals with disabilities to interact with machines through customized inputs, including eye tracking, voice commands, or touchless gestures.
- Adaptive input mechanisms: Intelligent sensors can modify control schemes based on user ability, making systems more inclusive.
- Biometric authentication: Intelligent sensors can enhance security by using biometric data for authentication.
Prof. Dr. Sandra Cano
Prof. Dr. Fernando Moreira
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- intelligent sensors
- voice recognition
- gesture recognition
- human–machine interaction
- natural language processing
- emotion recognition
- sentiment analysis
- wearable technology
- haptic feedback
- artificial intelligence
- user experience design (UX)
- physiological monitoring
- biometric authentication
- personalized interaction
- adaptive user interfaces
- virtual reality (VR)
- augmented reality (AR)
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