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https://www.readbyqxmd.com/read/28814059/biomot-exoskeleton-towards-a-smart-wearable-robot-for-symbiotic-human-robot-interaction
#1
Tomislav Bacek, Marta Moltedo, Kevin Langlois, Guillermo Asin Prieto, Maria Carmen Sanchez-Villamanan, Jose Gonzalez-Vargas, Bram Vanderborght, Dirk Lefeber, Juan C Moreno
This paper presents design of a novel modular lower-limb gait exoskeleton built within the FP7 BioMot project. Exoskeleton employs a variable stiffness actuator in all 6 joints, a directional-flexibility structure and a novel physical humanrobot interfacing, which allows it to deliver the required output while minimally constraining user's gait by providing passive degrees of freedom. Due to modularity, the exoskeleton can be used as a full lower-limb orthosis, a single-joint orthosis in any of the three joints, and a two-joint orthosis in a combination of any of the two joints...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814054/crux-a-compliant-robotic-upper-extremity-exosuit-for-lightweight-portable-multi-joint-muscular-augmentation
#2
Steven Lessard, Pattawong Pansodtee, Ash Robbins, Leya Breanna Baltaxe-Admony, James M Trombadore, Mircea Teodorescu, Adrian Agogino, Sri Kurniawan
Wearable robots can potentially offer their users enhanced stability and strength. These augmentations are ideally designed to actuate harmoniously with the user's movements and provide extra force as needed. The creation of such robots, however, is particularly challenging due to the underlying complexity of the human body. In this paper, we present a compliant, robotic exosuit for upper extremities called CRUX. This exosuit, inspired by tensegrity models of the human arm, features a lightweight (1.3 kg), flexible multi-joint design for portable augmentation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814047/a-simple-tool-to-measure-spasticity-in-spinal-cord-injury-subjects
#3
Arash Arami, Nevio L Tagliamonte, Federica Tamburella, Hsieng-Yung Huang, Marco Molinari, Etienne Burdet
This work presents a wearable device and the algorithms for quantitative modelling of joint spasticity and its application in a pilot group of subjects with different levels of spinal cord injury. The device comprises light-weight instrumented handles to measure the interaction force between the subject and the physical therapist performing the tests, EMG sensors and inertial measurement units to measure muscle activity and joint kinematics. Experimental tests included the passive movement of different body segments, where the spasticity was expected, at different velocities...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814044/a-survey-of-stakeholder-perspectives-on-a-proposed-combined-exoskeleton-wheelchair-technology
#4
Tim Bhatnagar, W Ben Mortensen, Johanne Mattie, Jamie Wolff, Claire Parker, Jaimie Borisoff
BACKGROUND: Exoskeleton technology has potential benefits for wheelchair users' health and mobility. However, there are practical barriers to their everyday use as a mobility device. In particular, challenges related to travelling longer distances and transitioning between using a wheelchair and exoskeleton walking may present significant deterrents to regular exoskeleton use. In an effort to remove these barriers, a combined exoskeleton-wheelchair concept ('COMBO') has been proposed, which aims to achieve the benefits of both these mobility technologies...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814034/automated-assessment-of-symptom-severity-changes-during-deep-brain-stimulation-dbs-therapy-for-parkinson-s-disease
#5
Paolo Angeles, Yen Tai, Nicola Pavese, Samuel Wilson, Ravi Vaidyanathan
Deep brain stimulation (DBS) is currently being used as a treatment for symptoms of Parkinson's disease (PD). Tracking symptom severity progression and deciding the optimal stimulation parameters for people with PD is extremely difficult. This study presents a sensor system that can quantify the three cardinal motor symptoms of PD - rigidity, bradykinesia and tremor. The first phase of this study assesses whether data recorded from the system during physical examinations can be used to correlate to clinician's severity score using supervised machine learning (ML) models...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814033/towards-nirs-based-hand-movement-recognition
#6
Marco Paleari, Riccardo Luciani, Paolo Ariano
This work reports on preliminary results about on hand movement recognition with Near InfraRed Spectroscopy (NIRS) and surface ElectroMyoGraphy (sEMG). Either basing on physical contact (touchscreens, data-gloves, etc.), vision techniques (Microsoft Kinect, Sony PlayStation Move, etc.), or other modalities, hand movement recognition is a pervasive function in today environment and it is at the base of many gaming, social, and medical applications. Albeit, in recent years, the use of muscle information extracted by sEMG has spread out from the medical applications to contaminate the consumer world, this technique still falls short when dealing with movements of the hand...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814019/stiffness-control-of-a-nylon-twisted-coiled-actuator-for-use-in-mechatronic-rehabilitation-devices
#7
Brandon P R Edmonds, Ana Luisa Trejos
Mechatronic rehabilitation devices, especially wearables, have been researched extensively and proven to be promising additions to physical therapy, but most designs utilize traditional actuators providing unnatural, robot-like movements. Therefore, many researchers have focused on the development of actuators that mimic biological properties to provide patients with improved results, safety, and comfort. Recently, a twisted-coiled actuator (TCA) made from nylon thread has been found to possess many of these important properties when heated, such as variable stiffness, flexibility, and high power density...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814015/postoperative-healing-patterns-in-elbow-using-electromyography-towards-the-development-of-a-wearable-mechatronic-elbow-brace
#8
Raneem Haddara, Yue Zhou, Shrikant Chinchalkar, Ana Luisa Trejos
Musculoskeletal (MSK) conditions are the most common cause of severe long-term pain and physical disability. Current postoperative treatment for patients requires them to follow a long-term physiotherapy program customized for each specific case; however, this process can be complex, time-consuming and without the right therapy it may end up being ineffective. A possible solution involves the development of wearable mechatronic elbow braces that use electromyography (EMG) to identify patient intent. However, EMG characteristics change based on the health of the individual and therefore require further investigation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813962/a-fundamental-study-on-how-holding-a-helium-filled-balloon-affects-stability-in-human-standing
#9
Keisuke Shima, Koji Shimatani, Gen Sato, Mami Sakata, Psiche Giannoni, Pietro Morasso
Various studies have been conducted in the field of the development/deterioration of standing and walking ability. In standing and walking control strategy, the relationship linking visual/somatosensory/vestibular-system information and physical movement is important. Researchers have previously sought to evaluate attitude control based on human sensory information. The authors have also reported that the body sway of a walking infant is mitigated when the subject holds a helium-filled balloon, with results suggesting that this approach can be applied to extend walking distance...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813961/identifying-the-effects-of-using-integrated-haptic-feedback-for-gait-rehabilitation-of-stroke-patients
#10
Muhammad Raheel Afzal, Sanghun Pyo, Min-Kyun Oh, Young Sook Park, Jungwon Yoon
This paper evaluates the prospects of using a novel Integrated Haptic Feedback (IHF) system. IHF can provide over-ground gait training regimens for post-stroke ambulatory subjects. IHF system combines the use of a portable cane for kinesthetic feedback and a wearable vibrotactor array for tactile feedback. Continuous somatosensory input is aiforded to the users at the handle of cane; it serves the purpose of balance assurance at higher gait speeds. Besides, restricted use of upper limb for weight-bearing inspires the users to involve the paretic lower limbs more actively...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813959/-wink-to-grasp-comparing-eye-voice-emg-gesture-control-of-grasp-with-soft-robotic-gloves
#11
Bernardo Noronha, Sabine Dziemian, Giuseppe A Zito, Charalambos Konnaris, A Aldo Faisal
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifically, we evaluate the novel possibility of binocular eye-tracking technology to detect voluntary winks from involuntary blink commands, to establish winks as a novel low-latency control signal to trigger robotic action. By wearing binocular eye-tracking glasses we enable users to directly observe their environment or the actuator and trigger movement actions, without having to interact with a visual display unit or user interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813956/semi-autonomous-mobility-assistance-for-power-wheelchair-users-navigating-crowded-environments
#12
Daniel Ashley, Kyle Ashley, Redwan Alqasemi, Rajiv Dubey
Power wheelchair users suffering from cognitive or physical impairment often face difficulties in maneuvering their wheelchairs through crowded environments. Currently, users need to be continuously aware of all traffic around them to actively avoid all collisions. This is an especially difficult task since many wheelchair users are unable to accurately view or perceive their surroundings. Additionally, imprecise joystick control, slowed reaction time, or imperfect interpretation of the environment can lead to unintended collisions with objects in the environment...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813954/human-robot-sensor-interface-for-cardiac-rehabilitation
#13
Juan S Lara, Jonathan Casas, Andres Aguirre, Marcela Munera, Monica Rincon-Roncancio, Bahar Irfan, Emmanuel Senft, Tony Belpaeme, Carlos A Cifuentes
Cardiovascular disease is the leading cause of death in the world. A program of cardiac rehabilitation (CR) is related to physical activities or exercises to regain the optimal quality of life. CR relies on the necessity to evaluate, control and supervise a patient's status and progress. This work has two objectives: on the one hand, provide a tool for clinicians to assess the patient's status during CR. On the other hand, there is evidence that robots can motivate patients during therapeutic procedures. Our sensor interface explores the possibility to integrate a robotic agent into cardiac therapy...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813951/design-of-an-immersive-simulator-for-assisted-power-wheelchair-driving
#14
Louise Devigne, Marie Babel, Florian Nouviale, Vishnu K Narayanan, Francois Pasteau, Philippe Gallien
Driving a power wheelchair is a difficult and complex visual-cognitive task. As a result, some people with visual and/or cognitive disabilities cannot access the benefits of a power wheelchair because their impairments prevent them from driving safely. In order to improve their access to mobility, we have previously designed a semi-autonomous assistive wheelchair system which progressively corrects the trajectory as the user manually drives the wheelchair and smoothly avoids obstacles. Developing and testing such systems for wheelchair driving assistance requires a significant amount of material resources and clinician time...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813948/robotic-assistance-for-performing-vocational-rehabilitation-activities-using-baxbot
#15
Kyle Ashley, Redwan Alqasemi, Rajiv Dubey
Activities of Daily Living (ADL's) refer to tasks that people do on a daily basis, such as self-feeding, cleaning the house, or bathing. These activities often require a degree of functional mobility that may be outside the ability of a person suffering from cognitive or physical impairment. This work describes methods of performing ADL's with a mobile robotic system. We examined the needs of potential users and caregivers through surveys to determine the most needed applications for robotic assistance. Using this information, we extended the functionality of our BaxBot mobile robotic system to provide meaningful, autonomous assistance in performing three specific ADL's with minimal user interaction...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813938/online-sparse-gaussian-process-based-human-motion-intent-learning-for-an-electrically-actuated-lower-extremity-exoskeleton
#16
Yi Long, Zhi-Jiang Du, Chao-Feng Chen, Wei Dong, Wei-Dong Wang
The most important step for lower extremity exoskeleton is to infer human motion intent (HMI), which contributes to achieve human exoskeleton collaboration. Since the user is in the control loop, the relationship between human robot interaction (HRI) information and HMI is nonlinear and complicated, which is difficult to be modeled by using mathematical approaches. The nonlinear approximation can be learned by using machine learning approaches. Gaussian Process (GP) regression is suitable for high-dimensional and small-sample nonlinear regression problems...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813937/towards-quantifying-dynamic-human-human-physical-interactions-for-robot-assisted-stroke-therapy
#17
Mayumi Mohan, Rochelle Mendonca, Michelle J Johnson
Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction has been from a haptic perspective. Through this paper, we present metrics that can be used to identify if a physical interaction occurred between two people using kinematics. We present a simple Activity of Daily Living (ADL) task which involves a simple interaction...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813933/robotic-learning-from-demonstration-of-therapist-s-time-varying-assistance-to-a-patient-in-trajectory-following-tasks
#18
Mohammad Najafi, Kim Adams, Mahdi Tavakoli
The number of people with physical disabilities and impaired motion control is increasing. Consequently, there is a growing demand for intelligent assistive robotic systems to cooperate with people with disability and help them carry out different tasks. To this end, our group has pioneered the use of robot learning from demonstration (RLfD) techniques, which eliminate the need for task-specific robot programming, in robotic rehabilitation and assistive technologies settings. First, in the demonstration phase, the therapist (or in general, a helper) provides an intervention (typically assistance) and cooperatively performs a task with a patient several times...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813932/quantifying-infant-physical-interactions-using-sensorized-toys-in-a-natural-play-environment
#19
Vatsala Goyal, Wilson Torres, Roshan Rai, Frances Shofer, Daniel Bogen, Phillip Bryant, Laura Prosser, Michelle J Johnson
Infants with developmental delays must be detected early in their development to minimize the progression of motor and neurological impairments. Our objective is to quantify how sensorized toys in a natural play environment can promote infant-toy physical interactions. We created a hanging elephant toy, equipped with an inertial measurement unit (IMU), a pressure transducer, and multiple feedback sensors, to be a hand-grasping toy. We used a 3 DoF robotic model with inputs from the IMU to calculate multiple kinematic metrics and an equation to calculate haptic metrics from the pressure transducer...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813927/simulation-based-design-for-robotic-care-device-optimizing-trajectory-of-transfer-support-robot
#20
Yumeko Imamura, Ko Ayusawa, Yui Endo, Eiichi Yoshida
This paper presents a framework of simulation-based design for robotic care devices developed to reduce the burden of caregiver and care receivers. First, physical interaction between the user and device is quantitatively estimated by using a digital human simulator. Then we introduce a method for optimizing the design parameters according to given evaluation criteria. An example of trajectory optimization of transfer support robot is provided to demonstrate the effectiveness of the proposed method.
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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