- Electrowetting and Microfluidic Technologies
- Microfluidic and Bio-sensing Technologies
- Context-Aware Activity Recognition Systems
- Hand Gesture Recognition Systems
- Balance, Gait, and Falls Prevention
- Human-Automation Interaction and Safety
- Robot Manipulation and Learning
- Transport and Logistics Innovations
- Natural Fiber Reinforced Composites
- Muscle activation and electromyography studies
- Phosphorus and nutrient management
- Advanced Battery Technologies Research
- Advanced Sensor and Energy Harvesting Materials
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Technology Use by Older Adults
- Additive Manufacturing and 3D Printing Technologies
- Municipal Solid Waste Management
- Innovative Approaches in Technology and Social Development
- Human Pose and Action Recognition
- Wastewater Treatment and Reuse
- Gait Recognition and Analysis
- Human Motion and Animation
- Quality and Management Systems
- Microfluidic and Capillary Electrophoresis Applications
University of Maribor
2016-2024
Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One the most attractive applications includes monitoring disorder patients, tracking their disease progression and modification/evaluation drugs. This paper proposes a robust, wearable data acquisition system allows either classification recorded into desirable activities or identification common risk factors, thus enhancing subject's quality life. Gait information was...
The growth of poultry meat production is increasing industrial waste quantities every year. Feathers represent a huge part the waste, and international directives restrictions prevent landfilling such biodegradable materials with high burning values. Furthermore, their unique properties, feathers are already reliable resource for many byproducts, as keratin extraction, fibres, hydrogel production, etc., all trying to achieve high-added value. However, mass reduction into useful applications,...
This paper demonstrates the capabilities of three-dimensional (3D) LiDAR scanners in supporting a safe distance maintenance functionality human-robot collaborative applications. The use such sensors is severely under-utilised work with heavy-duty robots. However, even relatively modest proprietary 3D sensor prototype, respectable level safety has been achieved, which should encourage development applications future. Its associated intelligent control system (ICS) presented, as well sensor's...
This paper presents a real-time wearable system designed to assist Parkinson's disease patients experiencing freezing of gait episodes. The utilizes advanced machine learning models, including convolutional and recurrent neural networks, enhanced with past sample data preprocessing achieve high accuracy, efficiency, robustness. By continuously monitoring patterns, the provides timely interventions, improving mobility reducing impact explores implementation CNN+RNN+PS model on...
In order to recreate viable and human-like conversational responses, the artificial entity, i.e., an embodied agent, must express correlated speech (verbal) gestures (non-verbal) responses in spoken social interaction. Most of existing frameworks focus on intent planning behavior planning. The realization, however, is left a limited set static 3D representations expressions. addition functional semantic synchrony between verbal non-verbal signals, final believability displayed expression...
Constructing micro-sized machines always involves the problem of how to bring energy (electric, magnetic, light, electro wetting, vibrational, etc.) source device produce mechanical movements. The paper presents a rotational motor (the diameter rotor is 350 µm) driven by low frequency (200–700 Hz) circular vibrations, made two piezoelectric actuators, through medium water droplet with 1 mm (volume 3.6 µL). theoretical model streaming (rotation) liquid around an infinitely long pillar...
Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response workforce shortages rising care demands due an aging population. This project aims optimize resources, reduce errors, improve patient satisfaction through personalized care. Methods: The Living Lab approach was implemented split the study into sprints. first involves working with partners stakeholders define problem, brainstorm functionalities, identify limitations (24 participants)....
Classic enhanced self-correcting battery equivalent models require proper model parameters and initial conditions such as the state of charge for its unbiased functioning. Obtaining is often conducted by optimization using evolutionary algorithms. measurements, which can be burdensome in practice. Incorrect introduce bias, leading to long-term drift inaccurate readings. To address this, we propose two simple efficient frameworks that are optimized a genetic algorithm able determine...
Konferenčni zbornik / 1. mednarodna konferenca tehnologije in poslovni modeli za krožno gospodarstvo. Fakulteta kemijo kemijsko tehnologijo Univerze v Mariboru je organizirala mednarodno strokovno/znanstveno konferenco Tehnologije gospodarstvo (Technologies & Business Models for Circular Economy; TBMCE), ki potekala od 5. do 7. septembra 2018 Grand Hotelu Bernardin Portorožu. TBMCE bila namenjena predstavitvi konceptov krožnega gospodarstva tehnologij ter metodologij, prispevajo k...
Constructing a micro-sized microfluidic motor always involves the problem of how to transfer mechanical energy out motor. The paper presents several experiments with pot-like rotational structures driven by two perpendicular sine and cosine vibrations amplitudes around 10 μm in frequency region from 200 Hz 500 Hz. extensive theoretical research based on mathematical model liquid streaming structure was base for successful real-life laboratory application final allowed transferring central...