Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe na Yiling Liu

ʻO Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe na Yiling Liu he mea lanakila hanohano loa o ka 2021 A' Design Award Hao ma ka Māhele Hoʻokūkū Hoʻolālā Paʻalima, Polokalamu a me Lako Paʻalima.

HaoPaʻalima· 2021

Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe

na Yiling Liu

Mea Kūʻai: Reinier de Graaf Gasthuis

Mea Lanakila A' Design Award Hao ma ka Māhele Paʻalima

11,147

Mea Lanakila i Hōʻoia ʻIa

Hōʻoia i ke Kūlana Makana no #114626

Kipa i ka Pūnaewele Nānā ma A' Design Award Hoʻolaha Nūhou Hōʻailona Makana

Nā Waihoʻoluʻu

Ka Hoʻolālā

E Pili Ana iā Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe

Kikokikona Puke: ʻO Doplor Sleep kahi polokalamu nānā hiamoe i hoʻohana ʻia no nā haukapila. Hoʻopaʻa kēia polokalamu i nā leo o ka wahi puni me ka mikolopona o ke kelepona akamai. A laila, hoʻokaʻawale nā algorithm i kēlā me kēia leo i loko o nā ʻano like ʻole e like me nā alaka lāʻau lapaʻau, ʻōlelo, nā leo maʻamau, a me ka pūhū. Hōʻiliʻili ʻia ka ʻikepili hiamoe mai kahi mea nānā hiamoe i hoʻopili ʻia, a hoʻohui pū ʻia me ka ʻikepili leo i loko o kahi hōʻike o kēlā me kēia lā. Hōʻike nā kiʻi maʻalahi i ka nui o ka leo a me nā pae hiamoe ma luna o hoʻokahi laina manawa. ʻO ka pahuhopu, ʻo ia ka hoʻomaopopo ʻana i nā mea maʻi a me nā limahana lāʻau lapaʻau i ka walaʻau ma ke ʻano he kumu o ka hiamoe maikaʻi ʻole ma nā haukapila.

Ka Hoʻomaikai

E Pili Ana i ka A' Design Award Hao

Ua lanakila ka hoʻolālā Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe i ka A' Design Award Hao, he ʻike hoʻohanohano i hāʻawi ʻia i nā hoʻolālā maikaʻi e hoʻokō ana i nā koi ʻoihana a ʻoihana hana i manaʻo ʻia mai nā mea hoʻokumu i hana maikaʻi ʻia. Hōʻike nā lanakila Hao i ka mākau nui, ka loea kiʻekiʻe, ka ʻike akamai a me ka hiki hana noʻeau o ka poʻe i hana iā lākou. Manaʻo ʻia ʻo ka hoʻolālā Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe he mea hoʻokumu i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia e pono a hou. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Hao e hoʻohui ana i nā hana maikaʻi loa o ka ʻoihana a loaʻa nā ʻano ʻenehana mākaukau i hui pū ʻia me ka ʻike hana a me ka makakoho. Mahalo ʻia ka hoʻolālā Doplor Sleep Hana Nui: Polokalamu Kelepona Kaʻa no ka Nānā ʻana i ka Hiamoe no kona nānā pono a ua hoʻolālā ʻia e hāʻawi i nā hoʻomaikaʻi ola e kōkua ai i ka hana ʻana i ka honua i wahi maikaʻi aku.

Ma Hope o ka Hoʻolālā

ʻEke Nūhou

Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.

Nā ʻAno Kūʻokoʻa: 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.
Nā Ana a me ka Hoʻopili: The mobile application currently operates on Android devices, such as Android phones and devices.
Nā Lepili: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
ʻEnehana Hana: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Pilikia Hoʻolālā: 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.
Noiʻi: 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.
Hoʻoulu Manaʻo: 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.
Ka Lōʻihi o ka Papahana: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Kaʻina Hana: 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.
Nā Lālā Hui: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Nā Kuleana Kiʻi: 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