blocks|key|542867|text|一些Android应用程序允许您通过网络共享传感器：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|542868|PhonePi+(使用websockets)|unordered-list-item|offset|length|542869|传感器节点+(通过MQTT)|542870|IP网络摄像头+(可以通过访问http://SMARTPHONE_IP:8080/sensors.json作为webapi使用)|style|CODE|542871|塔斯克出版社|542872|你也可以通过亚行读取传感器！|542873|entityMap|0|LINK|mutability|MUTABLE|url|https://play.google.com/store/apps/details?id=com.phonepi|1|https://play.google.com/store/apps/details?id=com.mscino.sensornode&hl=en|2|https://en.wikipedia.org/wiki/MQTT|3|https://play.google.com/store/apps/details?id=com.pas.webcam&hl=en|4|https://play.google.com/store/apps/details?id=net.nosybore.mqttpublishplugin&hl=en|5|https://stackoverflow.com/questions/33525142/recycling-sensors-from-a-broken-android-device-using-adb^0|0|0|7|0|0|0|5|1|9|4|2|0|F|12|0|7|3|0|0|6|4|0|4|9|5|0^^$0|@$1|2|3|4|5|6|7|18|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|19|8|@]|9|@$E|1A|F|1B|1|1C]]|A|$]]|$1|G|3|H|5|D|7|1D|8|@]|9|@$E|1E|F|1F|1|1G]|$E|1H|F|1I|1|1J]]|A|$]]|$1|I|3|J|5|D|7|1K|8|@$E|1L|F|1M|K|L]]|9|@$E|1N|F|1O|1|1P]]|A|$]]|$1|M|3|N|5|D|7|1Q|8|@]|9|@$E|1R|F|1S|1|1T]]|A|$]]|$1|O|3|P|5|6|7|1U|8|@]|9|@$E|1V|F|1W|1|1X]]|A|$]]|$1|Q|3|-4|5|6|7|1Y|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X]]|Y|$5|T|U|V|A|$W|Z]]|10|$5|T|U|V|A|$W|11]]|12|$5|T|U|V|A|$W|13]]|14|$5|T|U|V|A|$W|15]]|16|$5|T|U|V|A|$W|17]]]]

Some Android apps allow you to share the sensors via the network:

<ul>
<li><a href="https://play.google.com/store/apps/details?id=com.phonepi" rel="noreferrer">PhonePi</a> (using websockets)</li>
<li><a href="https://play.google.com/store/apps/details?id=com.mscino.sensornode&amp;hl=en" rel="noreferrer">Sensor Node</a> (via <a href="https://en.wikipedia.org/wiki/MQTT" rel="noreferrer">MQTT</a>)</li>
<li><a href="https://play.google.com/store/apps/details?id=com.pas.webcam&amp;hl=en" rel="noreferrer">IP Webcam</a> (can be used as a webapi by accessing <code>http://SMARTPHONE_IP:8080/sensors.json</code>)</li>
<li><a href="https://play.google.com/store/apps/details?id=net.nosybore.mqttpublishplugin&amp;hl=en" rel="noreferrer">Tasker publisher</a></li>
</ul>

You can also <a href="https://stackoverflow.com/questions/33525142/recycling-sensors-from-a-broken-android-device-using-adb">read the sensors via ADB</a>!

blocks|key|542783|text|有多个Android应用程序可以无线传输传感器数据。结帐。“智能手机IMU+GPS”1，是开源的2，它通过UDP传输数据。应用描述1给出了一个接收数据流的Python代码片段。确保智能手机和接收设备连接到同一个WiFi网络，并且没有防火墙阻塞通信量。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|542784|1|offset|length|542785|2|542786|entityMap|0|LINK|mutability|MUTABLE|url|https://play.google.com/store/apps/details?id=de.lorenz_fenster.sensorstreamgps|https://sourceforge.net/projects/smartphone-imu/^0|0|0|1|0|0|0|1|1|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@$D|S|E|T|1|U]]|A|$]]|$1|F|3|G|5|6|7|V|8|@]|9|@$D|W|E|X|1|Y]]|A|$]]|$1|H|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]|C|$5|K|L|M|A|$N|P]]]]

There exist multiple Android apps to transmit sensor data wirelessly. Checkout e.g. "Smartphone IMU GPS" [1], which is open-source [2]. It transmits the data via UDP. A Python code snippet to receive the data stream is given in the app description [1]. Make sure the smartphone as well as the receiving device are connected to the same WiFi network and no firewall blocks the traffic.

[1] <a href="https://play.google.com/store/apps/details?id=de.lorenz_fenster.sensorstreamgps" rel="noreferrer">https://play.google.com/store/apps/details?id=de.lorenz_fenster.sensorstreamgps</a> 
[2] <a href="https://sourceforge.net/projects/smartphone-imu/" rel="noreferrer">https://sourceforge.net/projects/smartphone-imu/</a>

blocks|key|2940853|text|您可以使用python套接字来接收和处理数据。查看：https://docs.python.org/2/howto/sockets.html，了解如何设置服务器机器。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2940854|Android有一个兼容的套接字，可以用来发送数据:查看：http://examples.javacodegeeks.com/android/core/socket-core/android-socket-example/，了解如何使用它的一些想法。|2940855|编辑:这将适用于wifi和3g/4g。|2940856|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.python.org/2/howto/sockets.html|1|http://examples.javacodegeeks.com/android/core/socket-core/android-socket-example/^0|Q|18|0|0|T|2A|1|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]]|C|$]]|$1|F|3|G|5|6|7|Z|8|@]|9|@]|C|$]]|$1|H|3|-4|5|6|7|10|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]]]

You could use python sockets to recieve the data and process it. 
Look at: <a href="https://docs.python.org/2/howto/sockets.html" rel="nofollow">https://docs.python.org/2/howto/sockets.html</a> 
for some idea of how to setup the server machine.

Android has a compatible socket that you could use to send your data:
Look at: <a href="http://examples.javacodegeeks.com/android/core/socket-core/android-socket-example/" rel="nofollow">http://examples.javacodegeeks.com/android/core/socket-core/android-socket-example/</a> 
for some ideas on how to use it.

Edit: This will work for wifi and 3g/4g.

blocks|key|542911|text|您可以使用Github中的传感器服务器应用程序，它将实时传感器数据流到WebSocket客户端。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|542912|要从Android接收实时传感器数据，只需使用以下URL连接应用程序|542913|ws://ip:port/sensor/connect?type=<sensor-type>|code-block|syntax|javascript|542914|其中<sensor-type>是您要连接的传感器类型。例如|style|CODE|542915|加速度计：/sensor/connect?type=android.sensor.accelerometer|542916|定位：/sensor/connect?type=android.sensor.orientation|542917|陀螺仪：/sensor/connect?type=android.sensor.gyroscope|542918|等等..。|542919|几乎每种语言都提供Websocket协议的实现。若要在Python中接收实时数据，可以使用WebSocket客户端|542920|import+websocket



def+on_message(ws,+message):
++++print(message)+#+sensor+data+here+in+JSON+format

def+on_error(ws,+error):
++++print("###+error+###")
++++print(error)

def+on_close(ws,+close_code,+reason):
++++print("###+closed+###")
++++print("close+code+:+",+close_code)
++++print("reason+:+",+reason++)

def+on_open(ws):
++++print("connection+opened")
++++

if+__name__+==+"__main__":
++++ws+=+websocket.WebSocketApp("ws://192.168.0.102:8082/sensor/connect?type=android.sensor.accelerometer",
++++++++++++++++++++++++++++++on_open=on_open,
++++++++++++++++++++++++++++++on_message=on_message,
++++++++++++++++++++++++++++++on_error=on_error,
++++++++++++++++++++++++++++++on_close=on_close)

++++ws.run_forever()|542921|传感器服务器应用程序和Websocket客户端必须连接到同一个网络|542922|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/umer0586/SensorServer|1|https://github.com/websocket-client/websocket-client|2^0|D|A|0|0|0|0|2|D|0|5|1D|0|3|1B|0|4|19|0|0|19|C|1|0|0|0|A|2|0^^$0|@$1|2|3|4|5|6|7|1D|8|@]|9|@$A|1E|B|1F|1|1G]]|C|$]]|$1|D|3|E|5|6|7|1H|8|@]|9|@]|C|$]]|$1|F|3|G|5|H|7|1I|8|@]|9|@]|C|$I|J]]|$1|K|3|L|5|6|7|1J|8|@$A|1K|B|1L|M|N]]|9|@]|C|$]]|$1|O|3|P|5|6|7|1M|8|@$A|1N|B|1O|M|N]]|9|@]|C|$]]|$1|Q|3|R|5|6|7|1P|8|@$A|1Q|B|1R|M|N]]|9|@]|C|$]]|$1|S|3|T|5|6|7|1S|8|@$A|1T|B|1U|M|N]]|9|@]|C|$]]|$1|U|3|V|5|6|7|1V|8|@]|9|@]|C|$]]|$1|W|3|X|5|6|7|1W|8|@]|9|@$A|1X|B|1Y|1|1Z]]|C|$]]|$1|Y|3|Z|5|H|7|20|8|@]|9|@]|C|$I|J]]|$1|10|3|11|5|6|7|21|8|@]|9|@$A|22|B|23|1|24]]|C|$]]|$1|12|3|-4|5|6|7|25|8|@]|9|@]|C|$]]]|13|$14|$5|15|16|17|C|$18|19]]|1A|$5|15|16|17|C|$18|1B]]|1C|$5|15|16|17|C|$18|19]]]]

You can use <a href="https://github.com/umer0586/SensorServer" rel="nofollow noreferrer">Sensor Server app</a> from Github, which streams live sensor data to WebSocket clients.
To receive live sensor data from Android , you simply need to connect to the app using following URL
<pre><code>ws://ip:port/sensor/connect?type=&lt;sensor-type&gt;
</code></pre>
where <code>&lt;sensor-type&gt;</code> is the type of sensor you are connecting to. For example
For Accelerometer : <code>/sensor/connect?type=android.sensor.accelerometer</code>
For orientation : <code>/sensor/connect?type=android.sensor.orientation</code>
For gyroscope : <code>/sensor/connect?type=android.sensor.gyroscope</code>
and so on...
Almost every language provides implementation of Websocket protocol. To receive live data in Python script you can use <a href="https://github.com/websocket-client/websocket-client" rel="nofollow noreferrer">WebSocket client for Python</a>
<pre class="lang-py prettyprint-override"><code>import websocket



def on_message(ws, message):
 print(message) # sensor data here in JSON format

def on_error(ws, error):
 print(&quot;### error ###&quot;)
 print(error)

def on_close(ws, close_code, reason):
 print(&quot;### closed ###&quot;)
 print(&quot;close code : &quot;, close_code)
 print(&quot;reason : &quot;, reason )

def on_open(ws):
 print(&quot;connection opened&quot;)
 

if __name__ == &quot;__main__&quot;:
 ws = websocket.WebSocketApp(&quot;ws://192.168.0.102:8082/sensor/connect?type=android.sensor.accelerometer&quot;,
 on_open=on_open,
 on_message=on_message,
 on_error=on_error,
 on_close=on_close)

 ws.run_forever()

</code></pre>
<a href="https://github.com/umer0586/SensorServer" rel="nofollow noreferrer">Sensor Server app</a> and Websocket client must be connected to the same network

blocks|key|542955|text|我试图从手机到python获取实时音频数据。其他答案中提到的应用程序不能读取麦克风，但[医]食糜可以。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|542956|首先，你选择你想要测量的植物痘，我会以原始音频为例，但它可能也适用于其他传感器和音频类型。|542957|首先转到音频自相关，然后转到选项卡原始数据。当你按下播放时，你可以看到电脑上会收到什么的图表。然后从右上角的菜单中选择“允许远程访问”。一个url出现在屏幕底部。|542958|以下代码可以在您的pc上运行，并将显示一个瞬时测量的图表，但当然可以对其进行调整以持续接收数据：|542959|import+requests
import+json
import+matplotlib.pyplot+as+plt


def+send_request():

++++try:
++++++++response+=+requests.get(
++++++++++++url=f"{url}/get?recording=full&time=full"+++++++#+this+can+be+changed+for+other+audio+types
++++++++)
++++++++print(f'Response+HTTP+Status+Code:+{response.status_code}')
++++++++#+print(f'Response+HTTP+Response+Body:+{response.content}')
++++++++return+response.content
++++except+requests.exceptions.RequestException:
++++++++print('HTTP+Request+failed')


def+graph(raw):
++++data+=+json.loads(raw.decode('utf-8'))++++++++++++++#+Turns+data+into+a+large+dictionary
++++amplitude+=+data["buffer"]["recording"]["buffer"]+++#+This+location+depends+on+the+sensor+type
++++t+=+data["buffer"]["time"]["buffer"]
++++print(amplitude)
++++plt.plot(t,+amplitude)
++++plt.show()


url+=+"url"+++++++++#+insert+url+from+phyphox+here

raw_data+=+send_request()
if+raw_data:
++++graph(raw_data)|code-block|syntax|javascript|542960|当查看其他传感器时，可以通过打开phyphox在浏览器中提供的url来找到requests.get()的完整url，然后使用that元素，然后在“网络”选项卡下输入大量数据。单击其中之一，链接将显示在标题的顶部。|style|CODE|542961|entityMap|0|LINK|mutability|MUTABLE|url|https://play.google.com/store/apps/details?id=de.rwth_aachen.phyphox^0|17|5|0|0|0|0|0|0|11|E|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|D|3|E|5|6|7|14|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|15|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|16|8|@]|9|@]|C|$]]|$1|J|3|K|5|L|7|17|8|@]|9|@]|C|$M|N]]|$1|O|3|P|5|6|7|18|8|@$A|19|B|1A|Q|R]]|9|@]|C|$]]|$1|S|3|-4|5|6|7|1B|8|@]|9|@]|C|$]]]|T|$U|$5|V|W|X|C|$Y|Z]]]]

I was trying to get real time audio data from my phone to python. The apps mentioned in the other answers can't read the microphone, but <a href="https://play.google.com/store/apps/details?id=de.rwth_aachen.phyphox" rel="nofollow noreferrer">phyphox</a> can.
First you choose what you want to measure in phypox, I'll take raw audio as an example, but it probably works for other sensors too and audio types too.
First go to audio autocorrelation and go to the tab raw data. When you press play you can see a graph of what will be received on the pc. Then select &quot;allow remote access&quot; from the menu in the top right. A url appears in at the bottom of the screen.
The following code can be run on your pc and will display a graph of an instantaneous measurement, but it can of course be adjusted to continually receive data:
<pre><code>import requests
import json
import matplotlib.pyplot as plt


def send_request():

 try:
 response = requests.get(
 url=f&quot;{url}/get?recording=full&amp;time=full&quot; # this can be changed for other audio types
 )
 print(f'Response HTTP Status Code: {response.status_code}')
 # print(f'Response HTTP Response Body: {response.content}')
 return response.content
 except requests.exceptions.RequestException:
 print('HTTP Request failed')


def graph(raw):
 data = json.loads(raw.decode('utf-8')) # Turns data into a large dictionary
 amplitude = data[&quot;buffer&quot;][&quot;recording&quot;][&quot;buffer&quot;] # This location depends on the sensor type
 t = data[&quot;buffer&quot;][&quot;time&quot;][&quot;buffer&quot;]
 print(amplitude)
 plt.plot(t, amplitude)
 plt.show()


url = &quot;url&quot; # insert url from phyphox here

raw_data = send_request()
if raw_data:
 graph(raw_data)
</code></pre>
When looking at other sensors, the full url for <code>requests.get()</code> can be found by opening the url that phyphox gives in your browser, then use inspect element, and under the tab &quot;network&quot; a lot of data is coming in. Click on one of these and the link will show up at the top of the headers.

I wish to transmit real-time sensor data collected by Android smartphone to my computer and do the signal process on my computer. How may I achieve that? Any helpful links to tutorials are very well welcomed.

Either by wireless means or USB cables is acceptable.

When the data are transmitted, how may the computer process them?

I am familiar with Python, and so perferrably use Python to deal with the coming data.

Is it possible for Python to continuously accept newly come data and process them?

How to transmit Android real-time sensor data to computer?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我希望将由安卓智能手机采集的实时传感器数据传输到我的计算机上，并在我的计算机上进行信号处理。如何实现？任何有帮助的链接到教程都很受欢迎。无论是无线方式还是USB电缆都是可以接受的。当数据被传输时，计算机如何处理它们？我对Python很熟悉，所以我经常使用Python来处理即将出现的数据。是否有可能继续接受新来的数据并处理它们？

问如何将Android实时传感器数据传输到计算机？
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