scholarly journals Research on Design Strategy of Computer User Interface Based On Smart Home for the Elderly

2021 ◽  
Vol 1915 (2) ◽  
pp. 022047
Author(s):  
Xuejia Li
Keyword(s):  
User Interface ◽  
Smart Home ◽  
The Elderly ◽  
Design Strategy ◽  
Computer User

scholarly journals Designing smart home interfaces for the elderly

2009 ◽  
pp. 10-16 ◽  
Author(s):  
Zoraida Callejas ◽  
Ramón López-Cózar
Keyword(s):  
Smart Home ◽  
The Elderly

scholarly journals Rancang Bangun Smart Home System Menggunakan NodeMCU Esp8266 Berbasis Komunikasi Telegram Messenger

Techno Com ◽  
2019 ◽  
Vol 18 (4) ◽  
pp. 348-360 ◽  
Author(s):  
Peby Wahyu Purnawan ◽  
Yuni Rosita
Keyword(s):  
Quality Of Service ◽  
User Interface ◽  
Internet Of Things ◽  
Smart Home ◽  
Client Server

Smart Home System bertujuan memaksimalkan pengawasan, pemantauan, keamanan dan sebagainya. sistem ini terintegrasi dari telekomunikasi dan sistem pengendali dari mikrokontroller, sehingga  tercipta Internet Of Things. Pada Penelitian ini dilakukan perancangan sistem Smart Home, dengan sistem client-server berbasis NodeMCU ESP8266 v3 dengan user interface Telegram Messenger yang melakukan komunikasi data melalui wireless. Tahapan perancangan terdiri dari perancangan server, interface, serta sistem kendali Smart Home nya. Hasil akhir pengujian tersebut dapat disimpulkan Aplikasi Telegram Messenger sangat cocok untuk pengontrol dan monitoring Smart Home  jarak jauh, berdasarkan Jarak yang diukur dari 1,7 km sampai 151 km area beda wilayah didapatkan delay rata-rata 20,66 detik, Pada pengujian kinerja Quality of Service dalam sistem komunikasi data ini, berdasarakan standarisasi paramater hasil pengujian bekerja dengan sangat baik. Pada  pengujian nilai RSSI indoor didapat bahwa  kekuatan  komunikasi  wireless  lebih  baik  dibanding outdoor, sehingga RSSI nya lebih kuat. Nilai RSSI  yang tertinggi berada pada -28 dBm dan yang terkecil pada -88 dBm. Berdasarkan pengujian terhadap obstacle, dengan karakteristik redaman yang berbeda - beda dari tiap obstacle nya menghasilkan pengaruh terhadap RSSI dari sinyal wirelessnya.  Obstacle RSSI terkuat dihasilkan oleh pintu kayu dengan nilai -33dbm dBm , serta RSSI terkecil pada obstacle 2 bangunan rumah dengan nilai -78 dBm.  

Temporal-Sound based User Interface for Smart Home

2021 ◽  
Author(s):  
Kido Tani ◽  
Nobuyuki Umezu
Keyword(s):  
Machine Learning ◽  
User Interface ◽  
Smart Home ◽  
Classification Learning ◽  
Activity Classification ◽  
Smart Watch ◽  
Acceleration Data ◽  
Physical Controls ◽  
The Difference

We propose a gesture-based interface to control a smart home. Our system replaces existing physical controls with our temporal sound commands using accelerometer. In our preliminary experiments, we recorded the sounds generated by six different gestures (knocking the desk, mouse clicking, and clapping) and converted them into spectrogram images. Classification learning was performed on these images using a CNN. Due to the difference between the microphones used, the classification results are not successful for most of the data. We then recorded acceleration values, instead of sounds, using a smart watch. 5 types of motions were performed in our experiments to execute activity classification on these acceleration data using a machine learning library named Core ML provided by Apple Inc.. These results still have much room to be improved.

Abstract 71: Model of Induced Ventricular Tachycardia and Cardiac Electrophysiological Mapping

2016 ◽  
Vol 119 (suppl_1) ◽  
Author(s):  
Ike Chinyere ◽  
Kyle Weigand ◽  
Talal Moukabary ◽  
Russell Witte ◽  
Jordan Lancaster ◽  
...  
Keyword(s):  
Ventricular Tachycardia ◽  
User Interface ◽  
Electrical Activity ◽  
Intact Animal ◽  
Pulseless Electrical Activity ◽  
Border Zone ◽  
Coronary Artery Ligation ◽  
Computer User ◽  
Arrhythmogenic Potential ◽  
Electrical Alternans

Introduction: We have developed a computer user interface able to provide prescribed programmed electrical stimulation (PES) to induce sustained-ventricular tachycardia (VT) in rats with chronic heart failure (CHF). We propose this program to examine the cardiac electrophysiology (EP) properties and arrhythmogenic potential in varying disease models and as a method of evaluating drug safety in an intact animal. Methods: Using custom MATLAB software developed in our laboratory, we performed monophasic action potential (MAP) recordings and initiated protocols to induce sustained-VT through right ventricular epicardium PES outputs. Studies were performed in adult male Sprague-Dawley rats (N=22) six weeks after left coronary artery ligation under anesthesia and open chest. Results: CHF was verified by standard hemodynamic and echocardiographic parameters as is standard in our laboratory. In the CHF group, 71% (10/14) of the rats exhibited sustained-VT in response to PES versus 0% (0/8) of Sham rats. MAP recordings taken prior-to and during VT induction provided examples of localized activity for arrhythmia mechanisms such as delayed afterdepolarizations. Mechanical alternans, electrical alternans, intermittent pulse generations, and pulseless electrical activity were all observed in this model. EP data analysis showed a decreased (p<0.05) electrogram amplitude in border and infarct zones (Healthy (H): 8.7 ±2.1 mV, Border: 5.3±1.6 mV, Infarct (I): 2.3±1.2 mV), a similar trend for MAP amplitudes, and an increased (p<0.05) repolarization heterogeneity in the border zone (H: 8.1±1.5 ms, B: 20.2±3.1 ms). Conclusions: We have developed a custom computer user interface capable of performing clinically relevant in-vivo EP studies in rats with CHF. This rat model reproduces common clinical prognosis factors such as mechanical alternans, electrical alternans, and pulseless electrical activity. These EP studies demonstrate this program’s ability to test the arrhythmogenic potential of pharmaceutic agents, biologics, and implantables in an intact animal model before clinical advancement. We introduce this program to study an animal model’s EP characteristics before, during, and after treatments for CHF, and potentially other disease states.

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