• Title/Summary/Keyword: smart sensor

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Reliability and Validity Study of Inertial Sensor-Based Application for Static Balance Measurement

  • Park, Young Jae;Jang, Ho Young;Kim, Kwon Hoi;Hwang, Dong Ki;Lee, Suk Min
    • Physical Therapy Rehabilitation Science
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    • v.11 no.3
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    • pp.311-320
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    • 2022
  • Objective: To investigate the reliability and validity of static balance measurements using an acceleration sensor and a gyroscope sensor in smart phone inertial sensors. Design: Equivalent control group pretest-posttest. Methods: Subjects were forty five healthy adults aged twenty to fifty-years-old who had no disease that could affect the experiment. After pre-test, all participants wore a waist band with smart phone, and conducted six static balance measurements on the force plate twice for 35 seconds each. To investigate the test-retest reliability of both smart phone inertial sensors, we compared the intra-correlation coefficient (ICC 3, 1) between primary and secondary measurements with the calculated root mean scale-total data. To determine the validity of the two sensors, it was measured simultaneously with force plate, and the comparision was done by Pearson's correlation. Results: The test-retest reliability showed excellent correlation for acceleration sensor, and it also showed excellent to good correlation for gyroscope sensor(p<0.05). The concurrent validity of smartphone inertial sensors showed a mostly poor to fair correlation for tandem-stance and one-leg-stance (p<0.05) and unacceptable correlation for the other postures (p>0.05). The gyroscope sensor showed a fair correlation for most of the RMS-Total data, and the other data also showed poor to fair correlation (p<0.05). Conclusions: The result indicates that both acceleration sensor and gyroscope sensor has good reliability, and that compared to force plate, acceleration sensor has unacceptable or poor correlation, and gyroscope sensor has mostly fair correlation.

Data Compression Method for Reducing Sensor Data Loss and Error in Wireless Sensor Networks (무선센서네트워크에서 센서 데이터 손실과 오류 감소를 위한 데이터 압축 방법)

  • Shin, DongHyun;Kim, Changhwa
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.360-374
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    • 2016
  • Since WSNs (Wireless Sensor Networks) applied to their application areas such as smart home, smart factory, environment monitoring, etc., depend on sensor data, the sensor data is the most important among WSN components. The resources of each node consisting of WSN are extremely limited in energy, hardware and so on. Due to these limitation, communication failure probabilities become much higher and the communication failure causes data loss to occur. For this reason, this paper proposes 2MC (Maximum/Minimum Compression) that is a method to compress sensor data by selecting circular queue-based maximum/minimum sensor data values. Our proposed method reduces sensor data losses and value errors when they are recovered. Experimental results of 2MC method show the maximum/minimum 35% reduction efficiency in average sensor data accumulation error rate after the 3 times compression, comparing with CQP (Circular Queue Compression based on Period) after the compressed data recovering.

The Development of Ecobot Robot for Friendly Environment Smart Home Appliance Application System (친환경 스마트 가전 응용 시스템용 Ecobot 로봇 플랫폼 개발)

  • Moon, Yong-Seon;Bae, Young-Chul;Cha, Hyun-Rok;Roh, Sang-Hyun;Park, Jong-Kyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.4
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    • pp.480-485
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    • 2010
  • In this paper, we developed mobile robot platform called Ecobot for the application system of friendly environment smart home appliance. Ecobot fulfills the purposes of monitoring of the healthy environment and guidance in the application system of friendly smart environment home appliance, home network formed by Zigbee network. For the healthy environment, the system contains monitoring sensor. Moreover, it continuously keeps the healthy environment by controlling the smart home appliances linkng with Zigbee network. And also using the URG-04LX laser distance sensor, it monitors indoor environment through autonomous moving and collision avoidance.

Experimental verification of a distributed computing strategy for structural health monitoring

  • Gao, Y.;Spencer, B.F. Jr.
    • Smart Structures and Systems
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    • v.3 no.4
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    • pp.455-474
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    • 2007
  • A flexibility-based distributed computing strategy (DCS) for structural health monitoring (SHM) has recently been proposed which is suitable for implementation on a network of densely distributed smart sensors. This approach uses a hierarchical strategy in which adjacent smart sensors are grouped together to form sensor communities. A flexibility-based damage detection method is employed to evaluate the condition of the local elements within the communities by utilizing only locally measured information. The damage detection results in these communities are then communicated with the surrounding communities and sent back to a central station. Structural health monitoring can be done without relying on central data acquisition and processing. The main purpose of this paper is to experimentally verify this flexibility-based DCS approach using wired sensors; such verification is essential prior to implementation on a smart sensor platform. The damage locating vector method that forms foundation of the DCS approach is briefly reviewed, followed by an overview of the DCS approach. This flexibility-based approach is then experimentally verified employing a 5.6 m long three-dimensional truss structure. To simulate damage in the structure, the original truss members are replaced by ones with a reduced cross section. Both single and multiple damage scenarios are studied. Experimental results show that the DCS approach can successfully detect the damage at local elements using only locally measured information.

The Influence of Consumers' Innovativeness and Trust on Acceptance Intention of Sensor-based Smart Clothing (소비자의 혁신성과 신뢰가 센서기반 스마트 의류 수용의도에 미치는 영향)

  • Park, Hyun-Hee;Noh, Mi-Jin
    • The Korean Fashion and Textile Research Journal
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    • v.14 no.1
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    • pp.24-36
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    • 2012
  • This study examines consumer's acceptance intention of sensor-based smart clothing empolying the extended TAM. Technology innovativeness, information innovativeness and trust were used as external variables and perceived palyfulness was included in the extetended TAM. Data were collected from the adults over 20 years old living in Daegu from March 14 to 18, 2011. 193 useful copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0. The study results showed that the extended TAM for smart clothing was validated empirically in predicting the individual's acceptance of sensor-based smart clothing and 10 hypotheses among 12 hypotheses were supported. Technology innovation, information innovation, and trust were confirmed as antecedent variables in affecting extended TAM. Perceived usefulness and perceived playfulness directly influenced acceptance intention and indirectly influenced acceptance intention mediating attitude. Perceived usefulness affected perceived playfulness and attitude affected acceptance intention. This study will help marketers and managers of fashion companies devise effective tools in planning marketing strategies related to smart clothing.

Smart Factory's Environment Monitoring System using Bluetooth (블루투스를 이용한 스마트팩토리의 환경 모니터링 시스템)

  • Lee, Hwa-Yeong;Lee, Sung-Jin;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.224-226
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    • 2021
  • Recently, in order to increase the efficiency of the product production process, the automation of facilities and devices in the factory is in progress, and a smart factory is being built using ICT and IoT technologies. In order to organically solve many problems occurring in the smart factory, a system for monitoring the wireless communication function between facilities and devices and the manufacturing process environment of the smart factory is required. In this paper, we propose a monitoring system using a Bluetooth module, a temperature/humidity sensor and a fine dust sensor to remotely monitor the process environment of a smart factory. The proposed monitoring system collect Arduino sensor values wirelessly through Bluetooth communication.

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Implementation of Water Depth Indicator using Contactless Smart Sensors (비접촉식 스마트센서 기반 수위측정 방법 구현)

  • Kim, Minhwan;Lee, Jinhee;Song, Giltae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.733-739
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    • 2019
  • Water level measurement is highly demanding in IoT monitoring areas such as smart factory, smart farm, and smart fish farm. However, existing water level indicators are limited to be used in industrial fields as commercial products due to the high cost of sensors and the complexity of algorithms used. In order to solve these problems, our paper proposed methods using an infrared distance sensor as well as a hall sensor for the water level measurement, both of which are contactless smart sensors. Data errors caused by the inaccuracy of existing sensors were decreased by applying new simple structures so that versatility is enhanced. The performance of our method was validated using experiments based on simulations. We expect that our new water depth indicator can be extended to a general-purpose water level monitoring system based on IoT technology.

A Study on the Development of Smart Athleisure Fashion Design for Night Riding (야간 라이딩을 위한 스마트 애슬레져 패션디자인 개발 연구)

  • Park, Se-Eun;Kim, Youn-Hee
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.115-122
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    • 2020
  • The purpose of this study is to develop the fabric electronics-based safety protection smart athleisure fashion for night riding. Based on the characteristic analysis of products being used during night riding, the fabric LED Display and fabric type capacitive touch sensor to emphasize human friendliness were designed in detachable form through an intuitive interface to develop the smart athleisure fashion of prototype. This is meaningful in that it proposed smart Athleisure fashion products differentiated from existing products, considering the functional aspects based on fabric electronics that emphasized human friendliness and the design aspects of the customized system that can diversify design through exchange and compatibility with other Athleisure products due to detachable form. Follow-up study will focus on the improvement of textile sensor fit for the physical properties of a textile with reinforced wearability and flexibility by using Fabric Electronics and proposed customized smart fashion based on it.

Smart Parking System Using Ultrasonic Sensor and Bluetooth Communication in Internet of Things (사물인터넷에서 초음파 센서와 블루투스 통신을 이용한 스마트 주차 시스템)

  • Lee, Chungsan;Han, Youngtak;Jeon, Soobin;Seo, Dongmahn;Jung, Inbum
    • KIISE Transactions on Computing Practices
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    • v.22 no.6
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    • pp.268-277
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    • 2016
  • IoT (Internet of Things) technologies have largely contributed to our smart living environment. The smart parking system is one of the prominent services that IoT supports. To identify the parked vehicles, the previous parking system use special identifying devices, the RFID tags carried by the users, and the high quality camera to recognize the vehicle license numbers. However, the previous methods cause cost inefficiency and unfriendly usages. To address these problems, we propose a smart parking system based on ultrasonic sensors and Bluetooth communication. The proposed system decides the available slots by using the sensor motes located in the parking spaces. Also it recognizes the location of the parked vehicle using Bluetooth RSSI between a Smartphone and the sensor motes. In addition, based on these converging technologies, it can support the parked routes of vehicles for users. To evaluate the implemented smart parking system, we applied the RSSI transform equations and the recognition rate for parked vehicles. As a result, the accurate rate of transformed distances could be measured.

Photo Retrieval System using Kinect Sensor in Smart TV Environment (스마트 TV 환경에서 키넥트 센서를 이용한 사진 검색 시스템)

  • Choi, Ju Choel
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.255-261
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    • 2014
  • Advances of digital device technology such as digital cameras, smart phones and tablets, provide convenience way for people to take pictures during his/her life. Photo data is being spread rapidly throughout the social network, causing the excessive amount of data available on the internet. Photo retrieval is categorized into three types, which are: keyword-based search, example-based search, visualize query-based search. The commonly used multimedia search methods which are implemented on Smart TV are adapting the previous methods that were optimized for PC environment. That causes some features of the method becoming irrelevant to be implemented on Smart TV. This paper proposes a novel Visual Query-based Photo Retrieval Method in Smart TV Environment using a motion sensing input device known as Kinect Sensor. We detected hand gestures using kinect sensor and used the information to mimic the control function of a mouse. The average precision and recall of the proposed system are 81% and 80%, respectively, with threshold value was set to 0.7.