Baca Data Tidur
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Tidur diwakili oleh sesi
dengan jenis sleep
.
Sesi dapat secara opsional berisi tahapan tidur, yang memiliki detail yang lebih terperinci
tentang data tidur. Misalnya, jika itu ringan, nyenyak, atau REM
tidur:
Nilai tahapan tidur
Jenis tahapan tidur |
Nilai |
Terbangun (selama siklus tidur) |
1 |
Tidur |
2 |
Di luar tempat tidur |
3 |
Tidur singkat |
4 |
Tidur lelap |
5 |
REM |
6 |
Panduan menulis data tidur menunjukkan bagaimana
data tidur terperinci dan tidak terperinci ditampilkan di Fit.
Android
Contoh berikut menggunakan SessionClient
untuk mengambil data dari Fit, untuk kedua kasus tersebut.
val SLEEP_STAGE_NAMES = arrayOf(
"Unused",
"Awake (during sleep)",
"Sleep",
"Out-of-bed",
"Light sleep",
"Deep sleep",
"REM sleep"
)
val request = SessionReadRequest.Builder()
.readSessionsFromAllApps()
// By default, only activity sessions are included, so it is necessary to explicitly
// request sleep sessions. This will cause activity sessions to be *excluded*.
.includeSleepSessions()
// Sleep segment data is required for details of the fine-granularity sleep, if it is present.
.read(DataType.TYPE_SLEEP_SEGMENT)
.setTimeInterval(startTime, endTime, TimeUnit.MILLISECONDS)
.build()
sessionsClient.readSession(request)
.addOnSuccessListener { response ->
for (session in response.sessions) {
val sessionStart = session.getStartTime(TimeUnit.MILLISECONDS)
val sessionEnd = session.getEndTime(TimeUnit.MILLISECONDS)
Log.i(TAG, "Sleep between $sessionStart and $sessionEnd")
// If the sleep session has finer granularity sub-components, extract them:
val dataSets = response.getDataSet(session)
for (dataSet in dataSets) {
for (point in dataSet.dataPoints) {
val sleepStageVal = point.getValue(Field.FIELD_SLEEP_SEGMENT_TYPE).asInt()
val sleepStage = SLEEP_STAGE_NAMES[sleepStageVal]
val segmentStart = point.getStartTime(TimeUnit.MILLISECONDS)
val segmentEnd = point.getEndTime(TimeUnit.MILLISECONDS)
Log.i(TAG, "\t* Type $sleepStage between $segmentStart and $segmentEnd")
}
}
}
}
REST
Mengambil sesi tidur menggunakan REST API merupakan proses dua tahap:
Mengambil daftar sesi
menetapkan parameter activityType
ke 72
(SLEEP
).
Catatan: Anda dapat menggunakan startTime
dan endTime
, atau menggunakan pageToken
untuk mengambil sesi baru sejak permintaan sebelumnya.
Metode HTTP
GET
URL Permintaan
https://www.googleapis.com/fitness/v1/users/me/sessions?startTime=2019-12-05T00:00.000Z&endTime=2019-12-17T23:59:59.999Z&activityType=72
Respons
Contoh Sesi
responsnya mungkin adalah:
{
"session": [
{
"id": "Sleep1575505620000",
"name": "Sleep",
"description": "",
"startTimeMillis": "1575505620000",
"endTimeMillis": "1575526800000",
"modifiedTimeMillis": "1575590432413",
"application": {
"packageName": "com.example.sleep_tracker"
},
"activityType": 72 // Sleep
},
{
"id": "Run2939075083",
"name": "Mud",
"description": "",
"startTimeMillis": "1576594403000",
"endTimeMillis": "1576598754000",
"modifiedTimeMillis": "1576616010143",
"application": {
"packageName": "com.example.run_tracker"
},
"activityType": 8 // Running
}
],
"deletedSession": [],
"nextPageToken": "1576598754001"
}
Untuk mendapatkan detail tahapan tidur untuk setiap sesi (jika ada), gunakan
permintaan berikut untuk setiap sesi dalam daftar yang difilter:
Metode HTTP
POST
URL Permintaan
https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate
Isi permintaan
{
"aggregateBy": [
{
"dataTypeName": "com.google.sleep.segment"
}
],
"endTimeMillis": 1575609060000,
"startTimeMillis": 1575591360000
}
Respons
Jika permintaan Anda berhasil, Anda akan mendapatkan status respons HTTP 200 OK
pada kode sumber. Isi respons berisi representasi JSON dari aktivitas
segmen yang membentuk sesi tidur. Setiap intVal
mewakili
jenis aktivitas tidur
{
"bucket": [
{
"startTimeMillis": "1575591360000",
"endTimeMillis": "1575609060000",
"dataset": [
{
"point": [
{
"startTimeNanos": "1575591360000000000",
"endTimeNanos": "1575595020000000000",
"dataTypeName": "com.google.sleep.segment",
"originDataSourceId": "...",
"value": [
{
"intVal": 4, // Light sleep
"mapVal": []
}
]
},
{
"startTimeNanos": "1575595020000000000",
"endTimeNanos": "1575596220000000000",
"dataTypeName": "com.google.sleep.segment",
"originDataSourceId": "...",
"value": [
{
"intVal": 1, // Sleep
"mapVal": []
}
]
},
// .... more datapoints
{
"startTimeNanos": "1575605940000000000",
"endTimeNanos": "1575609060000000000",
"dataTypeName": "com.google.sleep.segment",
"originDataSourceId": "...",
"value": [
{
"intVal": 4, // Light sleep
"mapVal": []
}
]
}
]
}
]
}
]
}
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-08-31 UTC.
[null,null,["Terakhir diperbarui pada 2025-08-31 UTC."],[[["\u003cp\u003eSleep data in Google Fit is stored as sessions of type \u003ccode\u003esleep\u003c/code\u003e and can optionally contain detailed sleep stage information.\u003c/p\u003e\n"],["\u003cp\u003eSleep stages are categorized with specific values, such as 1 for awake, 4 for light sleep, and 6 for REM sleep.\u003c/p\u003e\n"],["\u003cp\u003eAndroid developers can use the \u003ccode\u003eSessionClient\u003c/code\u003e and \u003ccode\u003eSessionReadRequest\u003c/code\u003e to retrieve both basic and detailed sleep data.\u003c/p\u003e\n"],["\u003cp\u003eREST API access involves a two-step process: retrieving a list of sleep sessions, then requesting detailed sleep stage data for each session if available.\u003c/p\u003e\n"],["\u003cp\u003eSleep stage details from the REST API are provided as \u003ccode\u003eintVal\u003c/code\u003e values within the response, corresponding to the sleep stage categories.\u003c/p\u003e\n"]]],[],null,["# Read Sleep Data\n\nSleep is represented by [sessions](https://developers.google.com/fit/rest/v1/using-sessions)\nof type [`sleep`](https://developers.google.com/fit/rest/v1/reference/activity-types).\nSessions can optionally contain sleep stages, which have more granular details\nabout sleep data. For example, if it was light, deep or REM\nsleep:\n\n##### Sleep stage values\n\n| Sleep stage type | Value |\n|----------------------------|-------|\n| Awake (during sleep cycle) | 1 |\n| Sleep | 2 |\n| Out-of-bed | 3 |\n| Light sleep | 4 |\n| Deep sleep | 5 |\n| REM | 6 |\n\nThe [write sleep data](/fit/scenarios/write-sleep-data) guide shows how both\ngranular and non-granular sleep data is represented in Fit. \n\n### Android\n\nThe follow samples uses a [SessionClient](https://developers.google.com/android/reference/com/google/android/gms/fitness/SessionsClient.html)\nto retrieve data from Fit, for both cases. \n\n```kotlin\nval SLEEP_STAGE_NAMES = arrayOf(\n \"Unused\",\n \"Awake (during sleep)\",\n \"Sleep\",\n \"Out-of-bed\",\n \"Light sleep\",\n \"Deep sleep\",\n \"REM sleep\"\n)\n\nval request = SessionReadRequest.Builder()\n .readSessionsFromAllApps()\n // By default, only activity sessions are included, so it is necessary to explicitly\n // request sleep sessions. This will cause activity sessions to be *excluded*.\n .includeSleepSessions()\n // Sleep segment data is required for details of the fine-granularity sleep, if it is present.\n .read(DataType.TYPE_SLEEP_SEGMENT)\n .setTimeInterval(startTime, endTime, TimeUnit.MILLISECONDS)\n .build()\n\nsessionsClient.readSession(request)\n .addOnSuccessListener { response -\u003e\n for (session in response.sessions) {\n val sessionStart = session.getStartTime(TimeUnit.MILLISECONDS)\n val sessionEnd = session.getEndTime(TimeUnit.MILLISECONDS)\n Log.i(TAG, \"Sleep between $sessionStart and $sessionEnd\")\n\n // If the sleep session has finer granularity sub-components, extract them:\n val dataSets = response.getDataSet(session)\n for (dataSet in dataSets) {\n for (point in dataSet.dataPoints) {\n val sleepStageVal = point.getValue(Field.FIELD_SLEEP_SEGMENT_TYPE).asInt()\n val sleepStage = SLEEP_STAGE_NAMES[sleepStageVal]\n val segmentStart = point.getStartTime(TimeUnit.MILLISECONDS)\n val segmentEnd = point.getEndTime(TimeUnit.MILLISECONDS)\n Log.i(TAG, \"\\t* Type $sleepStage between $segmentStart and $segmentEnd\")\n }\n }\n }\n }\n```\n\n### REST\n\nRetrieving sleep sessions using the REST API is a two stage process:\n\n1. [Retrieve a list of sessions](https://developers.google.com/fit/rest/v1/using-sessions#list_existing_sessions)\n setting the [`activityType`](https://developers.google.com/fit/rest/v1/reference/activity-types) parameter to `72` (`SLEEP`).\n Note: You can use a `startTime` and `endTime`, or use a [pageToken](https://developers.google.com/fit/rest/v1/reference/users/sessions/list#parameters)\n to retrieve new sessions since the previous request.\n\n **HTTP method** \n\n GET\n\n **Request URL** \n\n https://www.googleapis.com/fitness/v1/users/me/sessions?startTime=2019-12-05T00:00.000Z&endTime=2019-12-17T23:59:59.999Z&activityType=72\n\n **Response**\n\n An example [Session](https://developers.google.com/fit/rest/v1/reference/users/sessions/list#response_1)\n response might be: \n\n {\n \"session\": [\n {\n \"id\": \"Sleep1575505620000\",\n \"name\": \"Sleep\",\n \"description\": \"\",\n \"startTimeMillis\": \"1575505620000\",\n \"endTimeMillis\": \"1575526800000\",\n \"modifiedTimeMillis\": \"1575590432413\",\n \"application\": {\n \"packageName\": \"com.example.sleep_tracker\"\n },\n \"activityType\": 72 // Sleep\n },\n {\n \"id\": \"Run2939075083\",\n \"name\": \"Mud\",\n \"description\": \"\",\n \"startTimeMillis\": \"1576594403000\",\n \"endTimeMillis\": \"1576598754000\",\n \"modifiedTimeMillis\": \"1576616010143\",\n \"application\": {\n \"packageName\": \"com.example.run_tracker\"\n },\n \"activityType\": 8 // Running\n }\n ],\n \"deletedSession\": [],\n \"nextPageToken\": \"1576598754001\"\n }\n\n2. To obtain details of sleep stages for each session (if present), use the\n following request for each session in the filtered list:\n\n **HTTP method** \n\n POST\n\n **Request URL** \n\n https://www.googleapis.com/fitness/v1/users/userId/dataset:aggregate\n\n **Request body** \n\n {\n \"aggregateBy\": [\n {\n \"dataTypeName\": \"com.google.sleep.segment\"\n }\n ],\n \"endTimeMillis\": 1575609060000,\n \"startTimeMillis\": 1575591360000\n }\n\n **Response**\n\n If your request was successful, you'll get a `200 OK` HTTP response status\n code. The response body contains a JSON representation of activity\n segments that comprise the sleep session. Each `intVal` represents the\n sleep [activity type](#sleep_activity_values) \n\n {\n \"bucket\": [\n {\n \"startTimeMillis\": \"1575591360000\",\n \"endTimeMillis\": \"1575609060000\",\n \"dataset\": [\n {\n \"point\": [\n {\n \"startTimeNanos\": \"1575591360000000000\",\n \"endTimeNanos\": \"1575595020000000000\",\n \"dataTypeName\": \"com.google.sleep.segment\",\n \"originDataSourceId\": \"...\",\n \"value\": [\n {\n \"intVal\": 4, // Light sleep\n \"mapVal\": []\n }\n ]\n },\n {\n \"startTimeNanos\": \"1575595020000000000\",\n \"endTimeNanos\": \"1575596220000000000\",\n \"dataTypeName\": \"com.google.sleep.segment\",\n \"originDataSourceId\": \"...\",\n \"value\": [\n {\n \"intVal\": 1, // Sleep\n \"mapVal\": []\n }\n ]\n },\n\n // .... more datapoints\n\n {\n \"startTimeNanos\": \"1575605940000000000\",\n \"endTimeNanos\": \"1575609060000000000\",\n \"dataTypeName\": \"com.google.sleep.segment\",\n \"originDataSourceId\": \"...\",\n \"value\": [\n {\n \"intVal\": 4, // Light sleep\n \"mapVal\": []\n }\n ]\n }\n ]\n }\n ]\n }\n ]\n }"]]