The proliferation of sensor networks, smartphone devices and social networking in the recent years have made it possible to use these technologies to monitor relationships established among humans in order to understand and capture social dynamics for ...

The new generation of watches is smart. Smart watches are connected to the internet and provide sensor functionality that allows an enhanced human-computer-interaction. Smart watches provide a gesture interaction and a permanent monitoring of physical ...

Accurately and pervasively monitoring the human walking pattern (or gait) is fundamental to predict falls and functional decline, which are among the leading causes of injury and death in older adults. Existing gait-monitoring devices are not routinely ...

In this paper, we present a system which is able to interact through natural dialogue, with PTSD patients, as well as to guide the conversation aiming to elicit enough information to make an assessment of their condition, in a manner similar to a self ...

In this paper, we study impairment caused by physical stress and impairment caused by alcohol consumption. We first base line the EEG waves in a meditation state. Then we measure the EEG waves during the physical activities such as walking, climbing ...

COPD (Chronic Obstructive Pulmonary Disease) is a serious lung disease that causes difficulty in breathing. COPD patients require lung function examinations and perform breathing exercises on a regular basis in order to manage and be more aware of their ...

Clinical practice guidelines (CPGs) are systematically developed documents that assist healthcare practitioners in making decisions about appropriate care for specific diseases based on evidence. In this context, acute gastroenteritis (AGE) in ...

Parkinson's Disease (PD) is a disabling neurodegenerative disease that affects approximately 1 million people in the United States. PD symptoms such as tremor, rigidity, bradykinesia and gait disturbances can be alleviated with drug treatments or deep ...

In this paper, we describe a novel methodology which employs machine learning as an alternative means to explore hospital characteristics and client satisfaction, for decision making and improved quality of care. We applied well known feature selection ...

Behavior, including non verbal, expressiveness is an integral part of the communication process since it can provide information on the emotional state and the user's performance when the aim of the interaction is measurable. Long term temporal ...

In this paper, we concentrate on refining the results of segmenting human presence from indoors videos acquired by a fisheye camera, using a 3D mathematical model of the camera. The model has been calibrated according to the specific indoor environment ...

Children with cleft palate or lip learn to speak in a way that compensates for the cleft. Their speech becomes unintelligible even after surgery to correct the cleft. Most children undergo speech therapy for many years after the surgery. The boring ...

This paper presents a wearable system based on kinesiologic electromyography that recognizes the user activity in real time. In particular, the system recognizes the following five activities: "walking", "running", "cycling", "sitting" and "standing". ...

The changing nature of healthcare has created a demand for new tools to support both seekers and providers of medical services in order to ensure that the optimal delivery of care is provided. Recent advances in health related technologies as well as ...

Rheumatoid Arthritis is a chronic disease that leads to swelling and inflammation of the joints and even spread to surrounding tissues and blood vessels. Physical therapy has been used successfully to slow the effects of this degenerative disease. ...

Breathing is one of the vital signs that are considered important from medical point of view. The quality of breathing is evaluated by considering several factors. In this paper we present the results of experiments that use a smart phone to evaluate ...

We present the application of a recently proposed probabilistic logical formalism, on the task of sensor data fusion in the USEFIL project. USEFIL seeks to extract valuable knowledge concerning the well-being of elderly people by combining information ...

Persons with neurological disorders or spinal cord injuries, such as Cerebrovascular Accident (CVA) or Paraplegia patients, experience significantly reduced physical abilities during their activities of daily living. By frequent and intense physical ...

The monitoring of human respiratory rate is essential in many clinical applications including the detection and monitoring of sleep disorders, the monitoring of newborns for Sudden Infant Death Syndrome (SIDS), and identifying patients at high risk up ...

While various technical approaches for constructing Ambient Assisted Living (AAL) applications/services have been proposed, it has become apparent that interoperability of AAL systems is the key challenge that has to be tackled for exploiting AAL ...