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This study developed models that automatically recognize proper / improper sitting postures using accelerometer readings from some human spinal points (thoracic, thoracolumbar and lumbar) through small, thin, and lightweight smartphones attached at those points, and by using a web camera which detects the upper body points' location and distances (chin, manubrium and acromion process). It also established...
This work presents a novel algorithm for recognizing activity states which are of interest for assessing the general well-being of cancer, frail and elderly patients. Using the novel idea of two-level classification, misclassification due to unwanted hand motion noise, which is a common source of error in wrist-worn sensing systems, is mitigated. The algorithm is verified using data from 20 subjects...
Thousands of people are dying because of breathing Carbon monoxide (CO) gas every year. In terms of poisons history, it has more unintentionally deaths than any other ones. One of the main resources of generating CO is fuel. Number of vehicles that use LPG are increasing dramatically. Technical problem in LPG injection system sometimes will result in irreversible effects for driver and passengers...
Smart sensing, devices, and monitoring are essential to localized motor condition monitoring and service applications. A unique approach to the smart device is the use of low-cost wireless sensors for machine condition measurement. Smartphones may be used as the computational platform that acquires motor parameters from wireless sensors using a compatible local communication. Considering the widespread...
When a user receives a phone call, his mobile phone will normally ring or vibrate immediately regardless of whether the user is available to answer the call or not, which could be disruptive to his ongoing tasks or social situation. Mobile call management systems are a type of mobile applications for coping with the problem of mobile interruption. They aim to reduce mobile interruption through effective...
While bringing massive-scale sensing at low cost, mobile participatory sensing is challenged by the low accuracy of the sensors embedded in and/or connected to the smartphones. The mobile measurements that are collected need to be corrected so as to accurately match the phenomena being observed. This paper addresses this challenge by introducing a multi-hop, multiparty calibration method that operates...
The artificial companion conversation (ACC) will play an important supporting technique for foremost challenges of our society. In this paper, we introduce an implementation of ACC on Android-based robot. The proposed architecture is designed for human to machine interaction which supports speech interaction, vision interaction with face and expression recognition, and knowledge learning and planning...
Within the world of wireless technologies, Bluetooth has recently been at the forefront of innovation. It is becoming increasingly relevant for vehicles to become aware of their surroundings. Therefore, having knowledge of nearby Bluetooth devices, both inside and outside other vehicles, can provide the listening vehicles with enough data to learn about their environment. In this paper, we collect...
Crowdsourcing is a new paradigm which leverages human computation to finish specific tasks. Efficient incentive mechanisms are proposed to motivate crowd workers' participation, in which however, researchers frequently concentrate on offline forms. Considering worker's successive arrival and dynamic departure, we are motivated to design an online incentive mechanism. Particularly, the workers come...
Recognizing the location of an individual in a home environment is crucial in order to enable various context-aware home applications such as elderly health monitoring and in home appliance automation. However, due to the limited number of dedicated Wi-Fi access points (APs), it is challenging to guarantee the reliable localization performance in a home environment by using the traditional Wi-Fi fingerprinting...
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,...
In this paper we propose a vehicular speed learning framework that recommends best traffic load based on a particularly required latency and throughput conditions to be achieved. The framework is composed of two main layers, the base layer and two enhancement layers. The base layer aims at providing an in-vehicle wireless receiver to inform the driver about the speed limit within the area he/she is...
Notifications can be relevant but they can also decrease productivity when delivered at the wrong point in time. Smartphones are increasingly capable of detecting relevant context information with the goal to decrease the number of these badly timed interruptions. Accordingly, research on context-aware notification management systems (CNMSs) on mobile devices has received increasing attention recently,...
Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data efficiently. Many incentive mechanisms for mobile crowd sensing have been proposed. However, none of them takes into consideration the cooperative compatibility of users for multiple cooperative tasks. In this paper, we design truthful incentive mechanisms to minimize the...
We have designed, implemented and evaluated the novel single array acoustic localization system SAILoc. The SAILoc system can interact with the commercial-off-the-shelf (COTS) smart phone and it is easier to deploy than multiple sensors' system. We also propose a robust time delay estimation (TDE) algorithm which is based on frequency domain (FD-TDE) and has an advantage over generalized cross-correlation...
This work proposes the design and evaluation of a wearable mobile ear-based electrocardiogram (ECG) monitoring system using highly electrically conductive material — graphene — enabled electrodes. Prolonged physiological monitoring is important in diagnosis, monitoring chronic diseases, and improving training regimes. Current technologies for monitoring ECGs alone are acceptable to clinicians or professionals,...
Monitoring workplace activities (what, who, when and where) is beneficial for workforce management. Wearable Recognition enables efficient activities recognition and inferring workplace activities from wearable sensors is attractive but complex. This paper studied the feature extraction of wearable sensory data to uncover the applicability and robustness of wearable sensing approach to activity recognition...
Smart environments based on Internet of Things (IoT) are very active area of research. Another task highly relevant in today's world is emergency management and situation awareness support systems. Integration of these technologies promises to make our lives safer in the face of natural disasters, emergencies or weapon attacks. In this paper, we suggest an innovative IoT-based solution for informing...
With the popularity of smart phone and mobile application, many traditional services can leverage the technology to provide the service in a more effective and efficient way. Mobile health care is one application for the practice of medicine and public health by using mobile devices. Moreover, health care sensors are available and economical in the market nowadays, so that people can easily use the...
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