Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun láti ọwọ́ Yiling Liu

Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun láti ọwọ́ Yiling Liu jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2021 Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ìmọ̀-ẹ̀rọ Alágbèéká, Ohun-èlò Fóònù àti Sọ́fítíwéà.

IrinAlágbèéká· 2021

Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun

látọ̀wọ́ Yiling Liu

Oníbàárà: Reinier de Graaf Gasthuis

Aṣẹ́gun Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Alágbèéká

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Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #114626

Ṣàbẹ̀wò Ojú Òpó Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun

Ọrọ Iwe: Doplor Sleep jẹ́ ohun elo ìbojúwo oorun tí a ṣe fún lílò ní ilé-ìwòsàn. Ohun elo yìí ń gba àwọn ìró àyíká pẹ̀lú maikirofóònù fóònù alágbèéká kan. Àwọn àlgọ́rítímù náà máa ń pín ìró kọ̀ọ̀kan sí àwọn ẹ̀ka bíi ìdágìrì ìṣègùn, ọ̀rọ̀ sísọ, àwọn ìró àìròtẹ́lẹ̀, àti hoho. A máa ń kó dátà oorun jọ láti inú ẹ̀rọ ìtọpasẹ̀ oorun tí a so pọ̀ mọ́ ẹ̀rọ náà, tí a ó sì fi darapọ̀ mọ́ dátà ìró náà nínú ìròyìn ojoojúmọ́ kan. Àwọn àwòrán tí ó rọrùn máa ń fi ìpele ìró àti àwọn ipò oorun hàn lórí ìlà àkókò kan ṣoṣo. Ète rẹ̀ ni láti mú kí àwọn aláìsàn àti àwọn òṣìṣẹ́ ìṣègùn mọ̀ nípa bí ariwo ṣe lè fa oorun àìdára ní àwọn ilé-ìwòsàn.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Irin A' Design Award

Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún Doplor Sleep Iṣẹ Alakọbẹrẹ Rẹ: Ohun Elo Alagbeka fun Ibojuwo Oorun nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: Doplor Sleep is a bedtime monitoring application that provides insights into sound disturbances in the hospital. It captures the environmental sounds using the microphone of the smartphone, and the implemented algorithms directed classify the data recorded into different sound source categories, such as medical alarms, speech, incidental sounds, and snoring sounds. Doplor sleep is connected with the Fitbit sleep tracker and retrieves data from Fitbit API to form daily sleep-sound quality reports. As for the UI, we used friendly-looking illustrations to present the data and information, and a creative way of interaction to let users view the dynamic of their sleep status and the acoustical environment throughout the night.
Ìwọ̀n àti Àpò: The mobile application currently operates on Android devices, such as Android phones and devices.
Àwọn Àkọlé: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Ìpèníjà Àpèsè: The first challenge is how to design a sound classification algorithm that could accurately classify the sounds of the hospital. The second one is to investigate how can we present the sound data and sleep data on the same timeline in a user-friendly way.
Ìwádìí: Recently in the Netherlands, researchers have found
that sleep duration and quality were suboptimal in the
hospital. Evidence proved that many modifiable hospital-related
factors negatively associated with patients' sleep
(JAMA Internal Medicine, 2018). The sound factor is
the most significant sleep disturbance in the hospital.
In this graduation project, collaborating with Reiner de Graaf
hospital and Critical Alarms lab, an information exchange
the system was proposed to raise awareness of sound as sleep
disturbance. The system captures the sound-producing
events and visualizes them with visually attractive graphics.
In this system, we use the smartphone as the sound captor.
The recorded sounds are processed locally on the phone
and converted into information such as sound level and the
category it belongs to (alarm, speech, incidental sounds, or
snore). Fitbit is implemented in the system to collect sleep
information. To both patients and medical staff, The Doplor
sleep system presents the influence of sound on sleep in
a friendly and comprehensive way. During this project, a
functioning prototype was developed. We have tested its
functionality and user experience with the potential users.
Ìmísí: Sleep deprivation caused by environmental factors can be fatal to critically ill patients. For example, various noises caused by false medical alarms, activities of hospital staff, conversations, etc. can cause delirium in patients with brain diseases. When it happens, patients are in a state of mental confusion and emotional disruption, which prolongs their hospital stay and, like a vicious circle, disturbs the rest of the other patients. A first-step solution can be creating awareness.
Àkókò Iṣẹ́ Àkànṣe: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Ìlànà Ìṣiṣẹ́: Before going to bed, the user presses the ship-icon button to start recording the environmental sounds. The next morning, the user presses the ship-icon again to stop recording. Then a sleep summary page occurs with information displayed such as sleep quality and sound quality. By Swiping to the left, the next screen occurs and the user sees more details about sees the presence of sounds (loudness levels and classifications) and sleep stages (wake, Light sleep, REM, and Deep sleep) during the whole by moving the boat forward along the river. Here we used boats as a time indicator and a representation of the sleeper, and the river indicating the timeline. The color blocks on the river represent the sleep stages. The icons of picnic, flashlight, rocks, and nose bubble indicate different sound classifications (speech, medical alarms, incidental sounds, and snores). Finally, by swiping to the left again, the user could fill in a short survey on their subjective feelings about sleep quality. The data will then be sent to the medical staff.
Àwọn Ọmọ Ẹgbẹ́: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Ìfọwọ́sí Àwòrán: Image #1: Illustrator Yiling Liu, Doplor Sleep Mockup, 2020.
Image #2: Illustrator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Image # 3: Illustrator Yiling Liu, Doplor Sleep Tablet Mockup, 2020.
Image #4: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Image #5: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Video Credits: Creator Yiling Liu, Doplor Sleep Showcase, 2020