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While the ability to perceive attitude in 3D trajectory of the movement is a basic concept of a motion capture, a 9-axis inertial measurement unit (IMU) device containing accelerometer, gyroscope and magnetometer is introduced as a challenge for motion tracking device. In this paper, a modular architecture in terms of accuracy on orientation of the sensor output, implemented for wearable motion capture...
Monitoring periodic limb movements in sleep (PLMS) is important since it is correlated with people's quality of sleep and several other sleep disorders. The clinically approved method of examining PLMS is polysomnography (PSG) where the sleep of patients are examined in a laboratory with various sensors attached to their body. However, PSG is time-consuming and expensive for patients and the need...
In this work, a wearable instrumented smart clothes with an accelerometer sensor embedded on the upper abdomen close to the diaphragm was used to detect respiration of subjects. A detection algorithm was proposed and verified with 30 testing cases on male and female subjects separately. More than 97% of accuracy is achieved by comparing with the detection results from respiratory belt conducted simultaneously...
This paper presents a scheme that detects falls with a wristband-type device and a smartphone. The user needs only to wear the wristband-type device on one hand, and can place the smartphone not only at multiple positions of the body, but also in a briefcase, a purse, or a backpack. The scheme utilizes the smartphone to collect the acceleration data from the wristband-type device to decide if there...
Waiting for service is a problem faced by people from different countries and cultures. The problem of waiting in a queue can bring losses of quality of life and even economic problems. In this paper, we propose a mechanism for automatic detection of wait events via smartphones. This detection is done cooperatively by observing data collected from the user's smartphone's wifi and accelerometer sensors,...
The current populace of the elderly is apparently abandoned by the younger generations due to their individual circumstances. To heighten the vitality and strengthen the fitness of elders, assisting a home care system can be an admittance that provides comprehensive nursing and monitoring them in the regular interim. To deliver an interactive service supervision platform to the elders a smart environment...
The field of Sign Language Recognition (SLR) has become an increasingly popular research topic. The goal of this study is an SLR system that will be capable of identifying a subset of 50 of the most common American Sign Language (ASL) word signs using surface electromyography and accelerometer data for multiple signers. All data was collected from deaf, fluent ASL users. A windowing approach is used...
In this paper, a method of analyzing the equestrian sport based on body sensor network is introduced. This method uses inertial sensors to analysis the motion characteristics of the key parts in the process of equestrian sport, so as to provide references for the correction of equestrian posture. This paper first arranges wireless sensor nodes on the surface of the key parts by analysing the motion...
Mobility impaired individuals need the wheelchair to support their independent life, so monitor activities performed on the wheelchair can provide significant insights on their general health status. Activity recognition related to healthy people is a well established research area; however, only few works addressed this problem for wheelchair users. This paper proposes a novel approach based on dynamic...
Sleep plays an important role in recovering physical and mental functions. Sleep position is known to affect sleep quality, hence, managing sleep position is beneficial for patients suffering from sleep disorders. For a long-term sleep management, we propose a sleep position tracking system using two wristbands. From the data collected from the wristbands, the system detects sleep positions and their...
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