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In this paper, we present a wearable assistant for Parkinson's disease (PD) patients with the freezing of gait (FOG) symptom. This wearable system uses on-body acceleration sensors to measure the patients' movements. It automatically detects FOG by analyzing frequency components inherent in these movements. When FOG is detected, the assistant provides a(More)
BACKGROUND About 50% of the patients with advanced Parkinson's disease (PD) suffer from freezing of gait (FOG), which is a sudden and transient inability to walk. It often causes falls, interferes with daily activities and significantly impairs quality of life. Because gait deficits in PD patients are often resistant to pharmacologic treatment, effective(More)
In this paper we introduce the concept of a wearable assistant for swimmer, called SwimMaster. The SwimMaster consists of acceleration sensors with micro-controllers and feedback interface modules that swimmer wear while swimming. With four different evaluation studies and a total of 22 subjects we demonstrate the functionality and power of the SwimMaster(More)
Freezing of gait (FOG) is a common gait deficit in advanced Parkinson's disease (PD). It is often a cause of falls, interferes with daily activities and significantly impairs quality of life. PD patients can be assisted by auditory cueing. In daily life cueing should be automatic during gait freeze. This paper describes our ambulatory research platform for(More)
Due to the fact that the electrodermal activity (EDA) is of high interest for stress research there is a need of a continuous measurement of the EDA. In studies related to the EDA exists nowadays a large discrepancy between the use of controlled environment studies and daily life surveys. This paper steps into this gap by presenting the effect of(More)
—Freezing of gait (FOG) is a common gait deficit in advanced Parkinson's disease (PD). It is often a cause of falls, interferes with daily activities and significantly impairs quality of life. Gait deficits in PD patients are often resistant to pharmacologic treatment; therefore effective non-pharmacologic assistance is needed.
Daily life activities such as working and shopping may cause people to carry overloaded bags, frequently borne in an incorrect way (e.g. only on one shoulder, asymmetrically worn). When these activities alter the gait, back pain incidents can occur. Critical conditions can be monitored taking advantage from a wearable assistant, extracting contextual(More)
Template-based approaches using acceleration signals have been proposed for gait-based biometric authentication. In daily life a number of real-world factors affect the users' gait and we investigate their effects on authentication performance. We analyze the effect of walking speed, different shoes, extra load, and the natural variation over days on the(More)
We present a research platform for combined physiological signal acquisition and context-awareness. This platform seeks to be wearable, it has extended battery life, it offers enough computational power to run context-recognition algorithms and it is flexible so that a variable number of sensors can be added to it. So far the system is composed of a(More)