IMPACT OF LEAP MOTION CONTROLLER ON PINCH GRIP IN SUB-ACUTE AND CHRONIC STROKE PATIENTS

Stroke patients have limited everyday tasks. For that videogame-based training (VBT) with the effect of virtual reality helps to improve the role of upper limb and motor function of hand rehabilitation (finger pinch grip). The Leap motion controller can track the both extremities (hand and fingers) fine movements. The study will demonstrate the impact of the leap motion controller on pinch grip in patient with sub-acute and chronic stroke. The total of 40 participants will be taken for study as per inclusion and exclusion criteria. The duration of the study will be six months with intervention. Leap motion -based, augmented reality training will be provided to patients for half hour, Every single day, 5days of the week a month. Formant’s sign and system usability scale will be taken. Those two will be the patient’s measure outcomes. Impact of the leap motion controller device will be evaluated by using the system usability scale and Formant’s sign. The result from the study will significantly provide evidence on the use of Leap motion controller on pinch grip in subacute and chronic stroke patient.

Feasibility and Performance Validation of a Leap Motion Controller for Upper Limb Rehabilitation

The leap motion controller is a commercial low-cost marker-less optical sensor that can track the motion of a human hand by recording various parameters. Upper limb rehabilitation therapy is the treatment of people having upper limb impairments, whose recovery is achieved through continuous motion exercises. However, the repetitive nature of these exercises can be interpreted as boring or discouraging while patient motivation plays a key role in their recovery. Thus, serious games have been widely used in therapies for motivating patients and making the therapeutic process more enjoyable. This paper explores the feasibility, accuracy, and repeatability of a leap motion controller (LMC) to be applied in combination with a serious game for upper limb rehabilitation. Experimental feasibility tests are carried out by using an industrial robot that replicates the upper limb motions and is tracked by using an LMC. The results suggest a satisfactory performance in terms of tracking accuracy although some limitations are identified and discussed in terms of measurable workspace.

Development of Virtual Reality Automotive Lab for Training in Engineering Students

A Virtual Reality application was developed to be used as an immersive virtual learning strategy for Oculus Rift S Virtual Reality glasses and through Leap Motion Controller™ infrared sensors, focused on students of the Automotive Systems Engineering academic program, as a practical teaching-learning tool in the context of Education 4.0 and the pandemic caused by COVID-19 that has kept schools closed since March 2020. The technological pillars of Industry 4.0 were used to profile students so that they can meet the demands of their professional performance at the industrial level. Virtual Reality (VR) plays a very important role for the production-engineering sector in areas such as design and autonomous cars, as well as in training and driving courses. The VR application provides the student with a more immersive and interactive experience, supported by 3D models of both the main parts that make up the four-stroke combustion engine and the mechanical workshop scenario; it allows the student to manipulate the main parts of the four-stroke combustion engine through the Oculus Rift S controls and the Leap Motion Controller™ infrared sensors, and relate them to the operation of the engine, through the animation of its operation and the additional information shown for each part that makes it up in the application.

Diferenciação de pacientes cirróticos com e sem encefalopatia hepática a partir da análise de padrões motores finos: Um estudo piloto com o Leap Motion Controller

Objetivo: analisar a precisão motora de pacientes cirróticos com ou sem encefalopatia hepática (EH), em diferentes gravidades, por meio da captura geoespacial das mãos. Metodologia: O público-alvo foram os pacientes do Serviço de Gastroenterologia de um hospital terciário do Nordeste do Brasil. Os dados foram coletados em três grupos de pacientes (A, EH não identificado; B, EH grau I e; C, EH grau II). A coleta dos dados de motricidade foi realizada com o Leap Motion Controller (LMC). Os dados coletados foram compostos pela posição de 16 pontos das mãos em três dimensões que, em sequência, foram convertidas em distância entre dois pontos. Resultados: Foram incluídos 60 pacientes com idade média de 54,6 (± 14,7) anos. Os testes de Kruskal-Wallis e Dunn indicaram diferenças nas medianas das variáveis ​​para os três grupos (p <0,05). As representações gráficas mostram uma diferença na precisão motora entre os grupos em um índice de 100% das variáveis, com variações com tendência de C > B > A em 87,5% dos casos. As frequências de movimento dos dedos, de ambas as mãos, tiveram o potencial de diferenciar os grupos. A direção é mais discriminativa do que a posição e a velocidade. Conclusão: Os resultados sugerem a possibilidade de diferenciar as classes de pacientes e que a progressão do desvio motor é uma das complicações do agravamento da doença.

An Innovative Approach for Online Neuroanatomy and Neurorrehabilitation Teaching Based on 3D Virtual Anatomical Models Using Leap Motion Controller During COVID-19 Pandemic

After the World Health Organization had declared a pandemic of coronavirus disease (COVID-19) on March 11, 2020 many governments, including the Government of Spain, declared the state of alarm enforcing a quarantine that have left millions of students confined to their homes. This home confinement has affected students of all levels, including university students, and has forced faculties to adapt online teaching strategies. Thus, traditional classroom face-to-face teaching has suddenly been replaced by online classes. This has revealed particularly challenging for medical courses. For such purpose we have designed an online teaching proposal addressed to the Degree in Physiotherapy and the Double Degree in Nursing and Physiotherapy of the University of Jaén (Spain). The objective is to implement an online virtual teaching protocol through the use of Virtual Reality. For such a goal, the Leap Motion Controller (LMC) will be used to teach the neuroanatomy of the brain and spinal cord and to teach and practice neurorehabilitation exercises. Along with devices like the LMC students will be asked to use Health Sciences databases in order to achieve a significative learning of the course topics. The project is structured in two phases. First, students will learn neuroanatomy and neurophysiology of the most relevant neurological conditions using LMC-based models. Then, they will learn to combine LMC games and conventional physiotherapy for neurorehabilitation purposes. The work of students will include the recording of videoreports demonstrating the acquisition of neuroanatomy concepts and simulating a clinical case. With this project we will assess the usability of LMC as an educative tool, the perception, satisfaction and self-regulated learning of physiotherapy students.

Intraoperative Quantitative Measurements for Bradykinesia Evaluation during Deep Brain Stimulation Surgery Using Leap Motion Controller: A Pilot Study

Deep brain stimulation (DBS) has shown a remarkably high effectiveness for Parkinson's disease (PD). In many PD patients during DBS surgery, the therapeutic effects of the stimulation test are estimated by assessing changes in bradykinesia as the stimulation voltage is increased. In this study, we evaluated the potential of the leap motion controller (LMC) to quantify the motor component of bradykinesia in PD during DBS surgery, as this could make the intraoperative assessment of bradykinesia more accurate. Seven participants with idiopathic PD receiving chronic bilateral subthalamic nucleus deep brain stimulation (DBS) therapy were recruited. The motor tasks of finger tapping (FT), hand opening and closing (OC), and hand pronation and supination (PS) were selected pre- and intraoperatively in accordance with the Movement Disorder Society revision of the Unified Parkinson's Disease Rating Scale. During the test, participants performed these tasks in sequence while being simultaneously monitored by the LMC and two professional clinicians. Key kinematic parameters differed between the preoperative and intraoperative conditions. We suggest that the average velocity ( V ¯ ) and average amplitude ( A ¯ ) of PS isolate the bradykinetic feature from that movement to provide a measure of the intraoperative state of the motor system. The LMC achieved promising results in evaluating PD patients’ hand and finger bradykinesia during DBS surgery.