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Challenges in Assistive Living Based on Tech Synergies: The Cooperation of a Wheelchair and A Wearable Device
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Advances in Assistive Technologies,
2022 |
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[2]
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A Human Following Robot for Fall Detection
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2020 |
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Modelo predictivo para la identificación de actividades de la vida diaria (ADL) en ambientes INDOOR usando técnicas de clasificación basadas en machine Learning
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2020 |
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Collaborative fall detection using smart phone and Kinect
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Mobile Networks and Applications,
2018 |
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Activity recognition using accelerometer sensor and machine learning classifiers
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2018 |
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[6]
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SPINDLES+: An adaptive and personalized system for leg shake detection
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Smart Health,
2018 |
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RF-Based Fall Monitoring Using Convolutional Neural Networks
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,
2018 |
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The mobifall dataset: Fall detection and classification with a smartphone
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Artificial Intelligence: Concepts, Methodologies, Tools, and Applications,
2017 |
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Securing Dynamic Firmware Updates of Mixed-Critical Applications
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2017 |
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Ανάπτυξη εφαρμογής παρακολούθησης ασθενών για τον εντοπισμό πτώσεων με χρήση έξυπνων κινητών
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2016 |
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[11]
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Estimating normal and abnormal activities using smartphones
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2016 |
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[12]
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An Accurate Crowdsourcing-Based Adaptive Fall Detection Approach Using Smart Devices
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2016 |
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Mounted smartphones as measurement and control platforms for motor-based laboratory test-beds
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Sensors,
2016 |
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Exploiting IMU Sensors for IOT Enabled Health Monitoring
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IoT of Health 2016 Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems,
2016 |
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Using accelerometers for evaluation of measurement uncertainty in impulse-radar system for monitoring of elderly and disabled persons
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21st IMEKO TC4 International Symposium and 19th International Workshop on ADC Modelling and Testing Understanding the World through Electrical and Electronic Measurement,
2016 |
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A Novel Framework for Fall Detection by Using Ambient Sensors and Voice Recording
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Research Journal of Pharmaceutical, Biological and Chemical Sciences,
2016 |
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Exploring smartphone sensors for fall detection
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mUX: the journal of mobile user experience,
2016 |
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Investigating the Impact of Possession-Way of a Smartphone on Action Recognition
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Sensors,
2016 |
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Development of a Wireless Mobile Computing Platform for Fall Risk Prediction
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2016 |
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Location-Aware Fall Detection System for Dementia Care on Nursing Service in Evergreen Inn of Jianan Hospital
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2016 |
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建置在智慧型裝置上的一個準確地運用群眾外包適應技術的跌倒偵測方法
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清華大學電機工程學系學位論文,
2015 |
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A Safe Walking App for Pedestrians
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2015 |
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Towards Improving Hypertensive Patients Care: Pervasive Monitoring and Diagnosis Support.
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MEDINFO 2015: EHealth-enabled Health: Proceedings of the 15th World Congress on Health and Biomedical Informatics,
2015 |
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Smartphone Based Fall Detection and Logic Testing Application Using Android SDK
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Journal of Biomedical Science and Engineering,
2015 |
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[25]
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Motion Analysis of Elderly People Based on Fall Detection Algorithm
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BIOSCIENCES BIOTECHNOLOGY RESEARCH ASIA,
2015 |
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[26]
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Analysis of android device-based solutions for fall detection
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Sensors,
2015 |
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[27]
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Exploring the role of a smartphone as a motion sensing and control device in the wireless networked control of a motor test-bed
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Informatics in Control, Automation and Robotics (ICINCO), 2015 12th International Conference on,
2015 |
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[28]
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Fall Detection Algorithm Based on Thresholds and Residual Events
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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications,
2015 |
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[29]
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Fall-MobileGuard: a smart real-time fall detection system
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Proceedings of the 10th EAI International Conference on Body Area Networks,
2015 |
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[30]
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Smartphone-based solutions for fall detection and prevention: challenges and open issues
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Sensors,
2014 |
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[31]
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Design of monitoring alarm system based on GPRS MMS
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Advanced Materials Research,
2014 |
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[32]
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Comparison and characterization of Android-based fall detection systems
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Sensors,
2014 |
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Assessment of postural stability in patients with cerebellar disease using gyroscope data
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Journal of Bodywork and Movement Therapies,
2014 |
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Τεχνολογικ? Εκπαιδευτικ? ?δρυμα Κρ?τη?
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2014 |
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[35]
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A Wandering Path Tracking and Fall Detection System for People with Dementia
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Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on,
2014 |
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[36]
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Novel fall detection algorithm for the elderly people
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Science Engineering and Management Research (ICSEMR), 2014 International Conference on,
2014 |
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Εφαρμογή ηλεκτρονικής υγείας για την παρακολούθηση ασθενών με τη χρήση έξυπνων κινητών.
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2014 |
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스마트폰 가속도센서 기반 행위 및 낙상인지를 위한 특징 추출 기법
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2013 |
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[39]
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The MobiFall dataset: An initial evaluation of fall detection algorithms using smartphones
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Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on. IEEE, 2013.,
2013 |
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[40]
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Feature Extraction Techniques for Activity and Fall Recognition using Accelerometer in a Smartphone
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??????? ???????,
2013 |
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[41]
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Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone
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International Journal of Distributed Sensor Networks,
2013 |
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[42]
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Restricted Boltzmann Machine 을 이용한 스마트폰 사용자 낙상 인지
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2012 |
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[43]
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Final project
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2012 |
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[44]
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Construction of WeChat-based Piano Teaching Platform
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