Hossein Mousavi HondoriUniversity of California, Irvine | UCI · Robotics
Hossein Mousavi Hondori
PhD
About
40
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Introduction
Scientist at University of California, Irvine.
Additional affiliations
January 2012 - September 2016
January 2010 - December 2011
September 2004 - September 2006
Education
January 2007 - January 2011
Publications
Publications (40)
RELATED APPLICATION
This application is related to U.S. patent application Ser. No. 17/845,371, entitled “Drying and Curing Systems,” filed Jun. 21, 2022, by Christopher Foster, Andrew Xu, and Yaala Belau, and U.S. patent application Ser. No. 17/845,612, entitled “Drying and Curing Heating Systems,” filed Jun. 21, 2022, by Randy K. Roushall and Chr...
Motor performances in some of the neurological diseases such as stroke, multiple sclerosis, and Parkinson's are damaged. Improvement of this deficiency typically requires intensive treatments in a long period of time. Although various rehabilitation techniques could be used for this purpose, among them the Human-Computer Interaction (HCI) based met...
The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related gains in visuomotor tracking. Here we asked whether activity in this same frontoparietal circui...
Background and Aim: Advances in neuroscience have provided a potential to directly interact with the human brain. Interaction with human brain could be performed using neuroimaging techniques such as EEG to build a brain computer interface (BCI). The EEG-based BCI systems are now mature enough to be applied in HCI researches to promote novel techni...
Advances in neuroscience have started to enable the ability to interact directly with the human brain. Researchers have used neuroimaging techniques such as EEG to build Brain-Computer Interface (BCI). Significant technological advances have occurred in the past decade towards developing a BCI system using EEG activity. Nowadays, the communication...
Advances in technology are providing new forms of human-computer interaction. The current study examined one form of human-computer interaction, augmented reality (AR), whereby subjects train in the real-world workspace with virtual objects projected by the computer. Motor performances were compared with those obtained while subjects used a traditi...
The abstract will be added upon in-press publication.
This paper reviews technical and clinical impact of the Microsoft Kinect in physical therapy and rehabilitation. It covers the studies on patients with neurological disorders including stroke, Parkinson's, cerebral palsy, and MS as well as the elderly patients. Search results in Pubmed and Google scholar reveals increasing interest in using Kinect...
This paper presents a brief overview of our method for using an ego-centric wearable camera to monitor activities of daily living (ADL). We have developed and tested a computer vision algorithm used to classify activities of daily living using data collected from a depth camera (Intel Creative RGB-D).We have used a class of 11 different actions and...
In recent years, the field of Human-Computer Interaction (HCI) has been advanced with many technologies, however, most are limited to healthy users. In this paper, we leveraged the technology of free-hand interaction to rehabilitate patients with stroke. We modified the game of Fruit Ninja to use Leap Motion controller's hand tracking data for stro...
We explore the differences of direct (DI) vs. indirect (IDI) interaction in stroke rehabilitation. Direct interaction is when the patients move their arms in reaction to changes in the augmented physical environment; indirect interaction is when the patients move their arms in reaction to changes on a computer screen. We developed a rehabilitation...
INTRODUCTION:
Virtual Reality (VR) has been found useful for numerous rehabilitation applications, but has some intrinsic constraints such as the need for a visuospatial transformation when guiding movements. Augmented Reality (AR) is a new approach to human-computer interaction that enables patients to interact directly with virtual objects. The c...
Introduction: Virtual Reality (VR) has been found useful for numerous rehabilitation applications, but has some intrinsic constraints such as the need for a visuospatial transformation when guiding movements. Augmented Reality (AR) is a new approach to human-computer interaction that enables patients to interact directly with virtual objects. The c...
We propose a tabletop keyboard that assists stroke patients in using computers. Using computers for purposes such as paying bills, managing bank accounts, sending emails, etc., which all include typing, is part of Activities of Daily Living (ADL) that stroke patients wish to recover. To date, stroke rehabilitation research has greatly focused on us...
We propose a novel multi-perspective multi-layer interaction using a mobile device, which provides an immersive experience of 3D navigation through an object. The mobile device serves as a window, through which the user can observe the object in detail from various perspectives by orienting the device differently. Various layers of the object can a...
Introducing computer games to the rehabilitation market led to development of numerous Virtual Reality (VR) training applications. Although VR has provided tremendous benefit to the patients and caregivers, it has inherent limitations, some of which might be solved by replacing it with Augmented Reality (AR). The task of pick-and-place, which is pa...
Full or partial loss of functionality of the upper limbs is usually associated with strokes, spinal cord injury and many other similar injuries. Traditional rehabilitation treatment however is extremely labor intensive and are usually only available at hospital. However a lot of studies have shown that through the use of repetitive robotic practice...
This paper features a Spatial Augmented Reality system for rehabilitation of hand and arm movement. The table-top home-based system tracks a subject's hand and creates a virtual audio-visual interface for performing rehabilitation-related tasks that involve wrist, elbow, and shoulder movements. It measures range, speed, and smoothness of movements...
Monitoring the ambience's condition is emerging as one of the most important issues in mobile robots. While we need to detect and process the condition quickly and efficiently using sensors, they (sensors) introduce extra complexity to the systems. Therefore this paper aims to develop a new method to simplify the sensing process. It describes an ex...
Control of the mechanical impedance of a limb is an important duty of the central nervous system while coordinating motion or maintaining a posture. In this work we aim to develop a new measurement method to monitor mechanical impedance of human arm. We have developed a low impedance novel robotic interface, using the linear motor as sensor cum act...
Augmented Reality (AR) is a live, direct or indirect, view of a physical, real-world environment whose elements are overlaid by virtual, computer generated objects. In this paper, AR is combined with haptics in order to observe human arm's stiffness. A haptic, hand-held device is used to measure the human arm's impedance. While a computer vision sy...
This paper proposes the design and use of a portable device for measuring the impedance of human arm during reaching motion. While the device looks and weighs like an ordinary mug, it contains a DC motor, which rotates an eccentric mass, and a 2-axis inertia sensor, which monitors vibration. The centrifugal force due to the rotating eccentric mass...
While developers are mainly tackling primary problems in devel-oping augmented reality (AR) systems [1-2], perceptually-correct augmentation rests a critical challenge. In this paper, we focus on how to correctly display and accurately convey the augmented virtual object’s size with respect to real-world objects. We con-ducted a user study to exami...
This paper proposes the design and use of a portable device for measuring the impedance of human arm during reaching motion. While the device looks and weighs like an ordinary mug, it contains a DC motor, which rotates an eccentric mass, and a 2-axis inertia sensor, which monitors vibration. The centrifugal force due to the rotating eccentric mass...
complete activities of daily living (ADL) independently, while saving their time, money, and extra effort. The patients are otherwise required to visit rehabilitation clinics for formal care. Toward this goal, we present our approach to spot specific gesture's of eating and drinking in a home setting. We fuse inertial and Microsoft Kinect sensors W...
Assessment of motor functions in patients with stroke or other diseases is widely based on subjective and qualitative methods such as Fugl-Meyer. Robotic technology has been utilized to overcome the shortcomings of the traditional methods; the robots are costly thus they are not broadly used. Use of robotic technology has shown that mechanical impe...
Control of the mechanical impedance of a limb is an important duty of the central nervous system while coordinating motion or maintaining a posture. In this work we aim to develop a new measurement method to monitor mechanical impedance of human arm. We have developed a low impedance novel robotic interface, using the linear motor as sensor cum act...
Mechanical impedance is an important factor that the central nervous system takes into account while coordinating a motion. This research work thus aims to develop a new measurement for monitoring dynamic changes of mechanical impedance. The method is introduced and validated in the context. The results show that device correctly measures the dynam...
A novel device, which looks like a mug, has been proposed for measuring the impedance of human hand. The device is designed to have convenient size and light weight similar to an ordinary coffee mug. It contains a 2-axis inertia sensor to monitor vibration and a small motor to carry an eccentric mass (m=100 gr, r=2 cm, rpm=600). The centrifugal for...
Mechanical impedance is a complex number and a system's property. Impedance of human arm is the control variable when the central nervous system coordinates a motion. This research proposes a new method for measuring the mechanical impedance as a complex number. Impedance is measured at the hand point while sinusoidal perturbation is applied. That...
Mechanical impedance is an important factor that the central nervous system takes into account while coordinating a motion. This research work thus aims to develop a new measurement for monitoring dynamic changes of mechanical impedance. The method is introduced and validated in the context. The results show that device correctly measures the dynam...
This research work aims to develop a new tool for assessment of human motor function with a focus on the upper limb. For that purpose, Simultaneous Sensing cum Actuating technology (SSA) will be used for measuring force, velocity, and especially mechanical impedance of the limb. Impedance measured at the hand point while the upper limb performing a...
Questions
Questions (3)
Hi Nahid,
RG notified me that you've added my paper from 2013 to your project page. I just wanted to let you know that we used that system in a clinical study with stroke patients and published the results in NNR. You can find the full text via the link below: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=yhWBBU8AAAAJ&sortby=pubdate&citation_for_view=yhWBBU8AAAAJ:vDijr-p_gm4C
I need a mocap system with the following specifications:
-small range is fine: 50x50x30 cm
-only a few markers will be fine even 1 is enough.
-sampling frequency 60Hz or higher (preferably more than 100Hz).
-if it is magnetic, it should not interfere with EEG sensors (marker is held in hand which moves on a table-top while EEG net is put on head).
Is there a database of good quality MRI images of the brain (and other organs) from different angles?