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In this paper, we evaluate methods of aggregating personal sensor data to estimate the degree of group stress. We compare the estimation accuracy of two aggregation methods, one without and one with personal distribution scaling. As a result of applying the data of 9 groups of people (105 people) to the methods, it is shown that the no-scaling method successfully estimates the degree of group stress...
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 paper a novel formation control frame-work is presented for unmanned autonomous ground vehicles based on analytical mechanics and multibody interpretation. The coordinated motion is achieved by introducing holonomic constraint functions that describe the interaction between the vehicles. These functions are interpreted as constraint forces and the decentralized control law is determined for...
This paper focuses on the control system design for a wearable power assist device which provides force/torque support for people who are doing physically demanding tasks. The device is actuated by the McKibben artificial muscle. The McKibben actuator is know to exhibit high nonlinearity between the supply pressure and the contractile length, and it is basically difficult to design a high performance...
Organizations are becoming increasingly complex, interconnected, dynamic and horizontal. In this scenario, expertise transfer is a complex process, but can lead the organization to gain competitive advantage, save money, and reduce the impact of losing expertise. Organizations are investigating not only expertise transfer techniques, but also how to accelerate transfer. We explore an approach that...
A social robot has to ascertain the personality of the human interacting with it through verbal or non-verbal communication. While existing literature focuses on facial feature recognition for non-verbal communication, we propose using handshake patterns to classify the personality of the concerned human. Due to the largely random nature of the gestures in handshakes, general pattern recognition methods...
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...
To predict the vibration displacement distributed on a vibrating surface, an r order Non-equidistant Grey Model (r-NGM) is proposed in this paper. This model is built by accumulating the initial discrete non-equidistant vibration displacement set with the r order Accumulated Generating Operation (r-AGO). The r-NGM is applied to a vibrating surface of a shaker to displacement prediction. The experimental...
Personal mobility devices such as wheelchairs, bicycles, and compact cars are used in daily life and to runs on sidewalks. However, there are several factors that may lead to discomfort rides, such as steps, slopes, and crowded sidewalks for a passenger. This paper proposes a system that detects the factors using smartphone attached to the personal mobility device and generates a discomfort-ride map...
Expert drivers, which have a wealth of driving experience, can perceive deeper structures of the environment, and can adapt to a changing environment, and can therefore take a hazard-anticipatory driving behavior to increase safety margins. This study focuses on assessing the potential risk for a pedestrian who initiates a road crossing from the driver's blind areas, and we have developed an advanced...
Motor vehicle theft has caused massive economic loss over the world. This paper proposes an embedded vision system to detect automotive interior intrusion. The system uses a fusion of an acceleration module and a vision module to meet the requirement of low power consumption for most motor vehicles. Furthermore, an effective intrusion detection algorithm is developed for the on-board vision module...
Human Activity Recognition (HAR) is a critical technology for seniors home care. In this paper, we present the system implementation and experimental study on detection of both of the daily activities and accidental event (Fall Down) with multiple inertial sensors on body. The overall accuracy are 94.3% on recognition of 10 kinds of daily activities with kNN in user-independent evaluation. Moreover,...
This study proposes a system-on-a-chip, field-programmable gate array (FPGA)-based real-time video processing platform for human action recognition. We provide the details of a hardware implementation for real-time human activity recognition in 3D scenes, including capture, processing, and display. The proposed platform is implemented by adding a two-stage preprocessing step to improve the results...
Autonomous vehicle technology has been rapidly expanding through the incorporation of advanced driver assistance systems in many new vehicles. The integration of autonomous vehicle technology to assist and alert drivers is essential to increase driver safety. The main aim of this paper is to (1) compare real driving data from the Next Generation SIMulation I-80 dataset to an "ideal" driving...
We have been developing a monitoring system to measure human information from human body. In the previous study, we developed a digital integrated circuit that enables acquisition of heart rate from ECG (Electrocardiogram) instead of MPU (Micro Processing Unit). This circuit reduced the power consumption of the MPU from 97 μW to 19.7 μW. In this research, we redesigned an MPU specialized for the human...
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