The introduction of Internet of Things (IoT) has benefitted smart cities, healthcare, and transportation applications for enabling smart connections and analyzing the performance. As the number of IoT devices and pote...
详细信息
The widespread shift in higher education (HE) from in-person instruction to pre-recorded video lectures means that many instructors have lost access to real-time student feedback for the duration of any given lecture ...
详细信息
ISBN:
(纸本)9783031116445;9783031116438
The widespread shift in higher education (HE) from in-person instruction to pre-recorded video lectures means that many instructors have lost access to real-time student feedback for the duration of any given lecture (a 'sea of faces' that express struggle, comprehension, etc.). We hypothesized that this feedback could be partially restored by analyzing student facial movement data gathered during recorded lecture viewing and visualizing it on a common lecture timeline. Our approach builds on computer vision research on engagement and affect in facial expression, and education research on student struggle. Here, we focus on individual student struggle (the effortful attempt to grasp new concepts and ideas) and its group-level visualization as student feedback to support human instructors. Research suggests that instructor supported student struggle can help students develop conceptual understanding, while unsupported struggle can lead to disengagement. Studies of online learning in higher education found that when students struggle with recorded video lecture content, questions and confusion often remain unreported and thus unsupported by instructors. In a pilot study, we sought to identify group-level student struggle by analyzing individual student facial movement during asynchronous video lecture viewing and mapping cohort data to annotated lecture segments (e.g. when a new concept is introduced). We gathered real-time webcam data of 10 student participants and their self-paced intermittent click feedback on personal struggle state, along with retrospective self-reports. We analyzed participant video with computer vision techniques to identify facial movement and correlated the data with independent human observer inferences about struggle-related states. We plotted all participants' data (computer vision analysis, self-report, observer annotation) along the lecture timeline. The visualization exposed group-level struggle patterns in relation to lecture content,
Traveling Salesman Problem (TSP), a well-known combinatorial optimization problem, aims to find the shortest path for a salesman to visit all the given cities and return to the departure city, with each city visited o...
详细信息
This study compares two computer vision methods to detect yellow sticky traps using unmanned autonomous vehicles in olive tree cultivation. The traps aim to combat and monitor the density of the Bactrocera oleae, an i...
详细信息
ISBN:
(纸本)9783031591662;9783031591679
This study compares two computer vision methods to detect yellow sticky traps using unmanned autonomous vehicles in olive tree cultivation. The traps aim to combat and monitor the density of the Bactrocera oleae, an important pest that damages olive fruit, leading to substantial economic losses annually. The evaluation encompassed two distinct methods: firstly, an algorithm employing conventional segmentation techniques like thresholding and contour localization, and secondly, a contemporary artificial intelligence approach utilizing YOLOv8, a state-of-the-art technology. A specific dataset was created to train and adjust the two algorithms. At the end of the study, both were able to locate the trap precisely. The segmentation algorithm demonstrated superior performance at proximal distances (50 cm), outperforming the outcomes achieved by YOLOv8. In contrast, YOLOv8 exhibited sustained precision, irrespective of the distance under examination. These findings affirm the versatility of both algorithms, highlighting their adaptability to various contexts based on distinct application demands. Consideration of trade-offs between accuracy and processing speed is essential in determining the most appropriate algorithm for a given application.
Mathematical transforms gain prominence in computer vision and image processing applications. Wavelet transform provides multiresolution analysis of signals and uses adaptive basis function that was tailored to the sp...
详细信息
Wearable computing systems are a large and important new class of embedded systems. Within this broad class is an important subclass, namely those systems which monitor various signals, both within the body and extern...
详细信息
ISBN:
(纸本)9783031053115;9783031053108
Wearable computing systems are a large and important new class of embedded systems. Within this broad class is an important subclass, namely those systems which monitor various signals, both within the body and external to the body, and possibly perform some action in response to various events. Many of these applications require conditions and actions that are beyond those described in our prior work. This work describes four such extensions. First, sensor data can be aggregated (integrated) over time. Second, actuator controls can be controlled over time with monitoring. Third, inputs from external sources can be used in the same way that sensor data can be used. Finally, messages sent to the outside word can include expressions involving sensor data as well as status of actuators. This paper describes the designer interface that allows professionals without computer expertise to include these features in the definition of a new wearable product. The definitions collected by the designer interface can be used to automatically generate the computer code that runs on the wearable computing device.
Event detection can be solved with two subtasks: identification and classification of trigger words. Depending on whether these two subtasks are handled simultaneously, event detection models are divided into the pipe...
详细信息
The drive for mobility has caused an increase in greenhouse gas emissions, leading to a shift toward the adoption of electric vehicles (EVs). These vehicles are powered by efficient electric motors, which offer reduce...
详细信息
The combination of metaverse and transportation provides new infinite possibilities for the future development of intelligent transportation. The metaverse-empowered intelligent transportation has the characteristics ...
详细信息
暂无评论