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This paper investigates computational emotion recognition using multimodal physiological signals. Four physiological signs - plethysmogram, skin conductance change, respiration rate and skin temperature - are measured to evaluate three emotions: positive, negative and neutral. Psychophysical experiments are conducted using Japanese kanji words in order to excite emotions in subjects so as to elicit...
Emergency management systems (EMS) are important and complex examples of Cyber-Physical-Human systems that are deployed so as to optimise the outcome of an emergency from a human perspective. They use sensor networks, networked decision nodes and communications with evacuees and first responders to optimise the overall Quality of Service to benefit primarily human beings in terms of survival, health...
We present Fermat, an Intelligent Social Network for Mathematics Learning, which integrates an Intelligent Tutoring System as an extra feature to help students to improve the teaching and learning process. The intelligent tutor takes into account both cognitive and affective aspects. The social network and the affective tutoring systems are accessed from the web. Initial results in math show the benefits...
The number of elderly population is increasing worldwide and often they need assistance in their daily activities. In many situations, these elders are placed in elderly care facilities in order to receive continuous assistance from the human caregivers. The caregivers usually keep a watchful eye on the elders and help them in their activities of daily living. However, study shows that the human caregivers...
This paper presents our development of an integrated brain-driven micro-biomanipulation system that can perform mind-controlled biomanipulation at micro scale. The system incorporates a non-invasive electroencephalogram (EEG) device with a high-precision automated micromanipulator through high speed network. The human manipulation mind measured by the EEG device can effectively drive the micro-manipulator...
The outer ears of most mammals are relatively large, transformable, and complicated in shape. In humans, the ears are located on opposite sides of the head. Although sound is diffracted by the outer ear, head, and body, sound diffraction has not been considered in previous biological neural approaches to sound source localization. In the present paper, the effect of sound diffraction on sound source...
With the emergence of ubiquitous computing, a dedicated network enabling applications for such systems becomes increasingly indispensable. Given the typical user-centered focus of ubiquitous applications, the dedicated network should be able to reconfigure itself autonomously according to the current context of use. In this paper, a new definition of a cognitive network is given and a clear line is...
This paper discusses a elasticity sensing system that is able to evaluate tongue elasticity in vivo. We utilize an equivalent Young's modulus of tongue, which is defined by the applied pressure divided by the tissue strain. We also introduce an index of muscle contraction by using an electromyographic (EMG) signal for judging whether the increase in elasticity is caused by a muscle contraction or...
This paper provides an overview of how Internet connected objects can lead to a social change towards energy efficiency in areas where people inhabit (cities, buildings or homes). For this aim it is proposed the use of social networks, like Twitter, as an interaction and communication channel between smart objects and human beings. The presented work demonstrates, by means of an experiment, how an...
Around Device Interaction (ADI) is recently introduced in the field of Human Computer Interaction (HCI)to provide touch less, more intuitive way of interaction using space beyond the physical boundary of the computing devices. In this paper, we introduce a new ADI input device called Pingu in the form factor of a fingering that allows users to interact with any nearby computing device with wireless...
In this paper we propose a model to represent and manage affective / emotional feedback. This model represents a set of emotions which is assumed to play a major role for learning processes. The emotions are to be identified during the learning phase. To achieve these objectives, we have considered primarily: i) Methods and techniques to assess and identify affectivity/emotivity in ITS (Intelligent...
After having suffered an accident with major injuries and fractures, people generally have to be monitored while following physical rehabilitation therapies. The obvious aim is to recover from any undesired/weird motion pattern in order to permit restoring the normal functional capabilities. Among several ways to record patients' activities, automatic human motion tracking systems are becoming more...
Cyber-physical systems are tight integrations of computation, networking, and physical objects. Advances recently witnessed in pervasive and ubiquitous information processing, driven by major breakthroughs in cyber-physical technology are paving the way towards a more hospitable and sustainable future via a more efficient management of our environment: homes, work places, open areas, etc. Examples...
Wearable sensing platforms like modern smart phones have proven to be effective means in the complexity and computational social sciences. This paper draws from explicit (phone calls, SMS messaging) and implicit (proximity sensing based on Bluetooth radio signals) interaction patterns collected via smart phones and reality mining techniques to explain the dynamics of personal interactions and relationships...
In this paper, we present an embedded real-time parking lot monitoring video surveillance system, automatically dimming and brightening the illumination depending on whether people or vehicles are detected in the monitored area. The system helps saving money by significantly reducing energy consumption, while maintaining appropriate levels of illumination for basic safety.
Instrumentation able to estimate upper limbs kinematics has a lot of relevance in the context of rehabilitation of stroke patients. The systems based on inertial systems seem to be well suited for clinical environment and numerous authors have presented wearable systems interesting in terms of accuracy and easiness of implementation. These systems always require an initialization procedure and the...
Given the remarkable recent progress in robotics research, we can envision the day when robots and humans coexist and robots become closely integrated into our daily lives. This means endowing robots with the ability to communicate so they perceive human emotion, adapt their behavior to humans, and sense situations even without explicit instructions. Meanwhile, affective computing, that interprets...
We present a novel sensing paradigm of measuring human gait. The goal of the research is to achieve low-cost gait biometrics systems with minimum data throughput for various sensing modalities. The binary measurements of the system are achieved by using both (1) periodic and (2) pseudo-random sampling structures. As a result, either static or dynamic gait features can be estimated from a one-bit data...
In this paper, an integrated framework with multiple sensory information for analysing human hand motions is proposed, and it consists of components of system integration, signal preprocessing, correlation study of sensory information and human motion recognition based on manipulation intention. Three types of sensors are employed in the framework to simultaneously capture the finger angle trajectory,...
There are many arguments for and against the use of autonomous-agents in intelligent environments. Some researchers maintain that it is of utmost importance to give complete control to users, and hence greatly restrict autonomy of agents, whereas, others believe that is it preferable to increase user convenience by allowing agents to operate autonomously on the user's behalf. While both of these approaches...
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