• 제목/요약/키워드: Smartphone sensor

검색결과 306건 처리시간 0.027초

Systematic test on the effectiveness of MEMS nano-sensing technology in monitoring heart rate of Wushu exercise

  • Shuo Guan
    • Advances in nano research
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    • 제15권2호
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    • pp.155-163
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    • 2023
  • Exercise is beneficial to the body in some ways. It is vital for people who have heart problems to perform exercise according to their condition. This paper describes how an Android platform can provide early warnings of fatigue during wushu exercise using Photoplethysmography (PPG) signals. Using the data from a micro-electro-mechanical system (MEMS) gyroscope to detect heart rate, this study contributes an algorithm to determine a user's fatigue during wushu exercise. It sends vibration messages to the user's smartphone device when the heart rate exceeds the limit or is too fast during exercise. The heart rate monitoring system in the app records heart rate data in real-time while exercising. A simple pulse sensor and Android app can be used to monitor heart rate. This plug-in sensor measures heart rate based on photoplethysmography (PPG) signals during exercise. Pulse sensors can be easily inserted into the fingertip of the user. An embedded microcontroller detects the heart rate by connecting a pulse sensor transmitted via Bluetooth to the smartphone. In order to measure the impact of physical activity on heart rate, Wushu System tests are conducted using various factors, such as age, exercise speed, and duration. During testing, the Android app was found to detect heart rate with an accuracy of 95.3% and to warn the user when their heart rate rises to an abnormal level.

스마트폰의 가속도 센서를 이용한 정적균형능력 측정의 신뢰도 연구 (Reliability of static balance abilities measure using a smartphone's acceleration sensor)

  • 한슬기;이인학;박누리
    • 한국산학기술학회논문지
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    • 제17권6호
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    • pp.233-238
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    • 2016
  • 본 연구는 스마트폰의 가속도 센서를 이용하여 정적균형능력을 측정하는데 있어 신뢰도를 알아보고자 실시하였다. 본 연구의 연구대상자는 최근 3개월 이내에 골절, 수술, 염증성 관절염이 없고 정기적인 운동을 시작하지 않은 Y대학교의 학생 30명을 대상으로 하였다. 본 연구에 사용된 스마트폰은 갤럭시S5LTE (SM-G900F, Samsung, Korea, 2014)였고 어플리케이션은 Sensor Kinetics pro (Ver.2.1.2, INNOVENTIONS Inc, US, 2015)를 사용하였다. 정적균형능력은 1회당 3번씩 측정하였으며 하루 간격으로 검사-재검사로 시행되었다. 1차 측정과 2차 측정은 동일하게 진행되었다. 본 연구의 분석은 Wilcoxon 부호순위검정, 급내상관계수(ICC(2,1))를 사용하였다. 본 연구의 연구결과는 다음과 같았다. 눈을 뜬 상태에서 1차 측정과 2차 측정 간에 유의한 차이가 없었고(p>0.05) 강한 양의 상관관계를 보였으며(r>0.75, p<0.05) 매우 높은 일치도(ICC>0.80)를 보였다. 눈을 감은 상태에서 1차 측정과 2차 측정 간에 유의한 차이가 없었고(p>0.05) 강한 양의 상관관계를 보였으며(r>0.75, p<0.05) 매우 높은 일치도(ICC>0.80)를 보였다. 본 연구를 통해 스마트폰은 정적균형능력 측정에 있어 가능성이 있다는 사실을 알 수 있었으며 본 연구가 향후 균형능력측정 전용 어플리케이션 개발에 기초자료가 되기를 기대해본다.

스마트폰 로봇의 위치 인식을 위한 준 지도식 학습 기법 (Semi-supervised Learning for the Positioning of a Smartphone-based Robot)

  • 유재현;김현진
    • 제어로봇시스템학회논문지
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    • 제21권6호
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    • pp.565-570
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    • 2015
  • Supervised machine learning has become popular in discovering context descriptions from sensor data. However, collecting a large amount of labeled training data in order to guarantee good performance requires a great deal of expense and time. For this reason, semi-supervised learning has recently been developed due to its superior performance despite using only a small number of labeled data. In the existing semi-supervised learning algorithms, unlabeled data are used to build a graph Laplacian in order to represent an intrinsic data geometry. In this paper, we represent the unlabeled data as the spatial-temporal dataset by considering smoothly moving objects over time and space. The developed algorithm is evaluated for position estimation of a smartphone-based robot. In comparison with other state-of-art semi-supervised learning, our algorithm performs more accurate location estimates.

Tool for Analyzing Activity of Evacuating and Supporting People Where are you now? Are you alright? -

  • Hayashida, Yukuo;Kiyota, Masaru;Mishima, Nobuo;Oh, Yong-sun;Yoo, Jaesoo
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2016년도 춘계 종합학술대회 논문집
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    • pp.247-248
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    • 2016
  • To investigate activities in the evacuated situation of people, the measurement system is newly constructed, that composed of a wearable sensor device of heart beats rates and mobile devices like an Android smartphone with a bluetooth low energy (BLE) connection. Smartphone not only displays the heart beats variation (HBR) and the current location of evacuation person by Global Positioning System (GPS), but also exports the CSV formatted file that would be used for further analyzing the activity of person in detail. As an example of the application of this system, we show the case of evacuation routes for elderly person in Hizen-Hamashuku Area, Saga Prefecture. Using the proposed measuring system, the activities of evacuates can be clearly shown on the map of Geospatial Information System (GIS).

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스마트폰 사용자의 실내 위치 추적을 통한 응급 상황 대피로 안내에 대한 연구 (A Study on the Guide to Emergency Exit by Tracking Location of Smartphone Users)

  • 전욱;장정환;장청윤;조용철;이창호
    • 대한안전경영과학회지
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    • 제20권1호
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    • pp.33-40
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    • 2018
  • The rate of fire in buildings is gradually increasing in these days and the damage of property are severely increasing. This study suggests a methodology that provides information of the emergency exits based on indoor location services. The methodology uses determination technology and the latest update of indoor map generation via the built-in sensors of smartphone. This paper enhances the accuracy of indoor localization, and also it is to study how to provide exact indoor layout for rescuing the workers in emergency, such as fires and natural disasters.

웹캠과 스마트폰 기반의 반려 동물 돌봄 로봇의 구현 및 전원 관리 (Implementation of a Pet Care Robot Based on Webcam and Smartphone and its Power Management)

  • 이윤호;전주현;이나은;장제문;유신;주문갑
    • 대한임베디드공학회논문지
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    • 제16권1호
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    • pp.29-34
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    • 2021
  • We developed a pet care robot that can be controlled outdoors. Through the smartphone application, the pet owners can watch the situation in the house and manipulate the robot to make their pet happy. The video data in the house is transmitted to the application through the webcam installed at the house. The robot can not only perform user's command but also do six basic macro action. The obstacle avoidance function using the current sensor can be activated if the user want to use. When the robot hits to something, it moves back and rotates by arbitrary angle, and then moves forward.

스마트폰을 이용한 동적균형능력 측정의 타당도 연구 (Validity Study of Dynamic Balance Abilities Measure using a Smartphone)

  • 한슬기;이상용;이대희;박정서
    • 대한물리의학회지
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    • 제11권2호
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    • pp.77-82
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    • 2016
  • PURPOSE: The purpose of this study was to investigate the validity of dynamic balance measurements using a smartphone. METHODS: Thirty subjects were selected out of Y-university students without fractures, operation history, and inflammatory arthritis who had not started regular exercise during the past three months. Their dynamic balance ability was measured by the Biodex Balance System (Biodex Medical Systems, Inc., USA) using smartphones. The smartphone utilized in this study was the Galaxy Note4 LTE (SM-N910K, Samsung, Korea), and the application was the Sensor Kinetics pro (Ver.2.1.2, INNOVENTIONS Inc, US). The dynamic balance ability was measured in triplicate. RESULTS: With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the roll value of the smartphone gyroscope versus the medial/lateral score of the Biodex Balance System. With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the total value of the smartphone gyroscope versus the total score of the Biodex Balance System. CONCLUSION: This study indicated that using a smartphone can generate highly limited data regarding balance ability. They are unlikely to replace the existing more expensive devices entirely. However, smartphones may be highly useful in environments in which an expensive device is not available or when dynamic balance ability should be measured immediately or within a few hours.

지진관측소와 스마트폰 MEMS 센서 기록의 비교분석 (Comparative Analysis of Seismic Records Observed at Seismic Stations and Smartphone MEMS Sensors)

  • 장동일;안재광;권영우;곽동엽
    • 대한토목학회논문집
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    • 제41권5호
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    • pp.513-522
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    • 2021
  • 스마트폰은 3축 방향 가속도를 기록할 수 있는 MEMS 센서를 포함하고 있고 무선통신망 장치가 내장되어 실시간으로 진동 데이터를 관측하고 전송할 수 있다. 이러한 특징을 기반으로 스마트폰을 지진관측망으로 사용하는 데 큰 장점으로 작용한다. 현재 국내 영남권에 시범적으로 279개의 스마트폰이 설치되어 지진관측망으로 사용되고 있다. 본 연구에서는 스마트폰 관측 지진기록의 유효성을 확인하기 위해 국가지진관측망의 지진관측소 기록과 스마트폰의 관측기록을 비교하였다. 비교에 활용된 데이터는 2019년에 발생한 5개의 지진에 대한 기록이며, 기상청과 한국지질자원연구원의 지진관측소에서 기록한 321개의 데이터와 스마트폰에서 기록한 145개의 데이터이다. 최대지반가속도(PGA)를 추출한 후, 지반운동예측식(GMPE)을 스마트폰 기록에 적용하여 PGA와 최대수평가속도(PHA)의 잔차를 분석하였다. 분석 결과, 스마트폰 MEMS 센서 관측기록의 자연대수 평균 잔차는 0.59로 약 1.8배 큰 PHA를 관측하였다. 또한, 스마트폰 MEMS 센서의 설치 층수가 높아질수록 잔차가 줄어드는 경향을 확인하였는데, 이는 지진파 응답스펙트럼의 경향과 비슷하다.

Design of Coordinator Based on Android for Data Collection in Body Sensor Network

  • Min, Seongwon;Lee, Jong-Yong;Jung, Kye-Dong
    • International Journal of Advanced Culture Technology
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    • 제5권2호
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    • pp.98-105
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    • 2017
  • Smartphones are fast growing in the IT market and are the most influential devices in our daily life. Smartphones are being studied for their use in body sensor networks with excellent processing power and wireless communication technology. In this paper, we propose a coordinator design that provides data collection, classification, and display using based on Android-smartphone in multiple sensor nodes. The coordinator collects data of sensor nodes that measure biological patterns using wireless communication technologies such as Bluetooth and NFC. The coordinator constructs a network using a multiple-level scheduling algorithm for efficient data collection at multiple sensor nodes. Also, to support different protocols between heterogeneous sensors, a data sheet recording wireless communication protocol information is used. The designed coordinator used Arduino to test the performance of multiple sensor node environments.

Measurements of pedestrian's ioad using smartphones

  • Pan, Ziye;Chen, Jun
    • Structural Engineering and Mechanics
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    • 제63권6호
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    • pp.771-777
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    • 2017
  • The applications of smartphones or other portable smart devices have dramatically changed people's lifestyle. Researchers have been investigating useage of smartphones for structural health monitoring, earthquake monitoring, vibration measurement and human posture recognition. Their results indicate a great potential of smartphones for measuring pedestrian-induced loads like walking, jumping and bouncing. Smartphone can catch the device's motion trail, which provides with a new method for pedestrain load measurement. Therefore, this study carried out a series of experiments to verify the application of the smartphone for measuring human-induced load. Shaking table tests were first conducted in order to compare the smartphones' measurements with the real input signals in both time and frequency domains. It is found that selected smartphones have a satisfied accuracy when measuring harmonic signals of low frequencies. Then, motion capture technology in conjunction with force plates were adopted in the second-stage experiment. The smartphone is used to record the acceleration of center-of-mass of a person. The human-induced loads are then reconstructed by a biomechanical model. Experimental results demonstrate that the loads measured by smartphone are good for bouncing and jumping, and reasonable for walking.