Sökning: "people tracking"
Visar resultat 1 - 5 av 191 uppsatser innehållade orden people tracking.
1. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level
Master-uppsats, SLU/Department of Molecular SciencesSammanfattning : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. LÄS MER
2. Designing for the Distracted : A User-Centered Approach to Explore and Act on the User Experiences of People with Short Attention Spans
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Short attention spans are a growing phenomenon, impacting users in their daily interactions with technology. While there have been studies in the field of HCI on how to design for directing or maximizing user attention, few have focused on users with short attention spans and their felt experiences. LÄS MER
3. Enhancing human-robot interaction using mixed reality
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER
4. Estimation of respiratory frequency from Heart Rate Variability
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : In this master's thesis the ability to estimate the respiratory frequency from heart rate variability measurement is analyzed. The goal was to implement a solution that is easily transferable to real time. LÄS MER
5. Clustering on groups for human tracking with 3D LiDAR
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER