Results 41 to 50 of about 55,155 (207)
Descripción del movimiento humano basado en el marco de Frenet Serret y datos tipo MOCAP
Clasificar el movimiento humano se ha convertido en una necesidad tecnológica, en donde para definir la posición de un sujeto requiere identificar el recorrido de las extremidades y el tronco del cuerpo, y tener la capacidad de diferenciar esta posición ...
Juan Camilo Hernandez-Gomez +2 more
doaj +1 more source
Flexible system of multiple RGB-D sensors for measuring and classifying fruits in agri-food Industry [PDF]
The productivity of the agri-food sector experiences continuous and growing challenges that make the use of innovative technologies to maintain and even improve their competitiveness a priority.
Auat Cheein, Fernando A. +2 more
core +2 more sources
Comparing the Drop Vertical Jump Tracking Performance of the Azure Kinect to the Kinect V2
Traditional motion analysis systems are impractical for widespread screening of non-contact anterior cruciate ligament (ACL) injury risk. The Kinect V2 has been identified as a portable and reliable alternative but was replaced by the Azure Kinect.
Patrik Abdelnour +6 more
doaj +1 more source
AAM Based Facial Feature Tracking with Kinect
Facial features tracking is widely used in face recognition, gesture, expression analysis, etc. AAM (Active Appearance Model) is one of the powerful methods for objects feature localization.
Wang Qingxiang, Yu Yanhong
doaj +1 more source
Is movement better? Comparing sedentary and motion-based game controls for older adults [PDF]
Providing cognitive and physical stimulation for older adults is critical for their well-being. Video games offer the opportunity of engaging seniors, and research has shown a variety of positive effects of motion-based video games for older adults ...
Dergousoff, Kristen K. +2 more
core +2 more sources
Assessing the degree of a person’s postural performance constitutes a high-value clinical and therapeutic tool. Different tests and clinical scales are applied to quantify the postural performance.
Andrés Henrriquez Pérez +2 more
doaj +1 more source
Human gesture classification by brute-force machine learning for exergaming in physiotherapy [PDF]
In this paper, a novel approach for human gesture classification on skeletal data is proposed for the application of exergaming in physiotherapy. Unlike existing methods, we propose to use a general classifier like Random Forests to recognize dynamic ...
Allebosch, Gianni +4 more
core +1 more source
Kinect������������������������������������������������������
EXILE, AKB48, K-POP
openaire +2 more sources
Plant morphological data are an important basis for precision agriculture and plant phenomics. The three-dimensional (3D) geometric shape of plants is complex, and the 3D morphology of a plant changes relatively significantly during the full growth cycle.
Guoxiang Sun, Xiaochan Wang
doaj +1 more source
Near Real-Time Data Labeling Using a Depth Sensor for EMG Based Prosthetic Arms
Recognizing sEMG (Surface Electromyography) signals belonging to a particular action (e.g., lateral arm raise) automatically is a challenging task as EMG signals themselves have a lot of variation even for the same action due to several factors.
A Vakkuri +10 more
core +1 more source

