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Recording and processing physiological signals from real life for the purpose of affect detection presents many challenges beyond those encountered in the laboratory. Issues such as finding the proper baseline and normalization take on a time dependent meaning. Physical motion also becomes an important factor as these physiological signals often overwhelm those caused by affect. Motion also has an...
Realistic facial animation is important in many graphics applications, like animated feature films and computer games, to enrich human computer interaction. In this paper, we propose a physically-based facial animation approach employing knowledge from the anatomy and biomechanics of human facial muscles. First, the 3D face mesh is generated automatically by commercial software and the facial skin...
In this paper we present an efficient data-driven tissue deformation model. The work originates in process automation within the pig meat processing industry. In the development of tools for automating accurate cuts, knowledge on tissue deformation is of great value. The model is built from empirical data; 10 pig carcasses are subjected to deformation from a controlled source imitating the cutting...
We present a fast physics and example based skin deformation method for character animation in this paper. The main idea is to represent the skin surface and its deformations with a group of curves whose computation incurs much less computing overheads than the direct surface-based approach. A fourth order ordinary differential equation is introduced to describe the deformations of the curves between...
The objective of this study is to characterize the mechanical behavior of human forearm soft tissue. We present a method combined traditional indentation test with MRI technique to in vivo quantify its material properties in three consecutive steps. First, a MRI scan based three-dimensional (3D) finite element (FE) model of the skin-fat-muscle-bone complex was developed for further FE analysis, then,...
It is well known that the massage therapy is useful for the rehabilitation of various diseases (i.e. oral health problems, etc.). Although various apparatus have been developed for the massage of the torso and limbs, a machine to perform precise massage therapy to maxillofacial region is not developed yet. The ability of a robotic system to exert itself without fatigue aims in providing more hours...
The purpose of the study is to develop a method to monitor the patient during the exercise and advice him to stop as he is approaching the fatigue condition. The median frequency of the EMG signal has been recognized as the best indicator of the muscular fatigue during the voluntary contraction of skeletal muscles. The EMG signal is picked up from the body using a pair of biopotential electrodes....
Fishery products are important not only from a nutritional point of view, but also as an item of international trade and foreign exchange earner for a number of countries in the world. Fish are highly perishable, and prone to vast variations in quality due to the method of storage temperature and storage duration. Spoilage is much faster if the fish is not held at chill temperatures [1]. The purpose...
Several emerging computer devices read bio-electrical signals (e.g., electro-corticographic signals, skin biopotential or facial muscle tension) and translate them into computer- understandable input. We investigated how one low-cost commercially-available device could be used to control a domestic robot. First, we used the device to issue direct motion commands; while we could control the device...
In the coexistence circumstance with humans and robots, sensory and emotional feelings of human should be considered in case of interaction. A typical unpleasant feeling that stems from this interaction is pain. We have developed a new multi-layered pain sensor similar to the laminated structure of human skin, to clarify this feeling which is abstract for robots. The dynamical characteristics of this...
This paper present the use of hand gestures for human-computer interaction, this paper presents an approach to identify hand gestures using muscle activity separated from electromyogram (EMG) using ANN. To retain a constraint-free user's environment, EMG sensing is limited to three arm muscles. EMG signals are processed to attain parameters that are related to the muscles temporal activities. The...
In this paper, we describe the specific absorption rates for RF propagation in muscle tissues and present an evaluative study for radiation reflected by a passive UHF radio frequency identification (RFID) tag. A derivation of UHF RFID tag backscatter theory is presented. This theory is merged with the biological effects of RF propagation in muscle tissues to form a general theory. This general theory...
In vivo assessment of human body composition quantities from imaging/scanning systems in clinical research and public health has led to proliferation of indirect methods and techniques that deliver approximating values. The systems are based on morphological or biochemical models and assumptions. Since the development of dual-energy X-ray absorptiometry (DXA) for the bone density, mineral content...
An importance of wearable devices in the field of medical treatment such as nursing care and rehabilitation has been strongly recognized. Also, the development of the power assisted device has been done to support the nursing care work for the elderly. The purpose of our study is to develop a flexible displacement sensor and bending sensor which can measure the movement of human body, flexible actuator...
Intra-body communication (IBC) is an emerging and interesting communication technique for body sensor networks (BSN). It employs the human body as communication channel for transmitting signals in order to reduce electromagnetic interference and abundant cables often appeared in home health care devices. Currently researches, aim at developing the application of IBC in BSN, have been conducted by...
This paper investigated the analytical solution of the temperature elevation in one-dimensional human model due to millimeter wave exposure for parametric analysis. The analytical solution of the bioheat equation for the one-dimensional three-layer model has been derived using the Laplace transform. Temperature distribution obtained from the analytical solution is compared with those derived from...
Expression based non verbal communication accounts for a significant amount of the information exchange in human communication. In order to recreate facial expressions artificially for conveying an exact message it is necessary to make them as natural as possible since human beings posses a remarkable ability to recognize the emotion from an expression. In this paper we try to analyze facial expressions...
The blood-brain barrier (BBB) is a specialized brain protection system consisting of endothelial cell, tight junctions and glial processes. BBB is the major limiting factor to therapeutic agents to the brain for disease treatment. Focused ultrasound (FUS) in the presence of microbubbles has the capability to deliver large molecules across BBB. In this study, we qualitatively and quantitatively analyzed...
In the coexistence circumstance with humans and robots, sensory and emotional feeling of human should be considered when the robots interact to human. A typical unpleasant feeling at interaction is pain. One approach for construction of safety coexistence circumstance with humans is to design the autonomous robot with action learning ability based on the subjective pain. In previous researches, a...
The stability of EMG recordings over an 8-day period has been investigated using a new wireless EMG electrode in 10 healthy volunteers. Throughout the 8-day period the electrode stayed on the skin, only the battery was replaced before each recording session. EMG-RMS values were recorded from the biceps during 50% and 100%-MVC exercises on 6 out of the 8 days. The results show a gradual decrease in...
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