UltraSoundLog: ID. UltraSoundLog: A Method for Embedding Location Information to Sound Log by Using Ultrasonic ID

Transcription

1 情報処理学会インタラクション 2015 IPSJ Interaction INT /3/7 UltraSoundLog: ID 1,a) 1,2,b) 1,c) ID 64.0% UltraSoundLog: A Method for Embedding Location Information to Sound Log by Using Ultrasonic ID Watanabe Hiroki 1,a) Terada Tsutomu 1,2,b) Tsukamoto Masahiko 1,c) Abstract: In wearable computing environments, various sensors enable to record user context as lifelog. Using sound-based lifelog, we have to attach tags to voice log appropriately since it is hard for us to extract the intended data from long-term sound log. We have proposed a method for tagging sound data by embedding ultrasonic ID. In this paper, we report the result of using our method in a real event, and we propose a method to resolve the issue that the worn position of a microphone affects the recognition accuracy. Our method recognizes a worn position by frequency response of ultrasonic sweep signals, and changes threshold for ID recognition for each positions. The accuracy of position recognition was 64.0%, and there were improvements in ID recognition using our method Graduate School of Engineering, Kobe University, 1 1 Rokkodai, Nada Kobe, Hyogo , Japan 2 PRESTO, Japan Science and Technology Agency, 7 Gobancho, Chiyoda, Tokyo, , Japan a) hiroki.watanabe@stu.kobe-u.ac.jp b) tsutomu@eedept.kobe-u.ac.jp c) tuka@kobe-u.ac.jp * 1 *2 *1 Nike FuelBand: nikeplus-fuelband *2 Up by Jawbone: Information Processing Society of Japan 136

2 Google Glass *3 ( ) BluetoothNFC [1] ID / [1] ID 20kHz (18kHz ) 2 3 *3 Google Glass: ID [2], [3], [4]. MFCC(Mel Frequency Cepstral Coefficient) [5] Choudhury [6] Bluetooth [7], [8] / [9], [10] [11] [12]NTT Air Stamp *4 INFOSOUND *5 Digital Solution Laboratory *4 Air Stamp: release/2014/03/04_00.html *5 INFOSOUND: Information Processing Society of Japan 137

3 1 Sound Tag *6 Smart Sonic Communication *7 Sonic Notify *8 (DTMF: Dual Tone Multi Frequency) [13] ID 3. ID 3.1 [1] 1 soundsignage/infosound/ *6 Sound Tag: http: //ds-lab.co.jp/solu_soundtag.html *7 Smart Sonic Communication : ssc-connect.com/ *8 Sonic Notify: ID ID () () / 3.2 (e.g. Galaxy Gear) / ID ID 44.1kHz ID [1] ID [1] ID PPM(Pulse Position Modulation) *9 ID 2 1 *9 : download/k4174_format.pdf 2015 Information Processing Society of Japan 138

4 2 ID 0 ID ID ID 0 1 ID 0 1 ID 0.4 ID 0.2 ID ID 1 ID 0 1 ID kHz 1 ID ID ID ID 3.4 ID ID 3 3 (FFT: Fast Fourier Transform) kHz 1 0 ID 01 ID ID / 4km 60Hz 19.5kHz 50Hz 3 4. ID 3 ID ID ID PC 30 ID 30 ID ios PCM Lite * 10 Android PCM * kHz 1024 FFT Visual C# PC lenovo X240s ID 1 2 ID *10 PCM Lite: pcm-lu-yin-lite/id ?mt=8 *11 PCM : details?id=com.kohei.android.pcmrecorder&hl=ja 2015 Information Processing Society of Japan 139

5 4 5 6 ID ID 1 2 ID ID ID 19.5kHz ID 5. [14] kHz 22kHz SAMSUNG GALAXY Note ID Information Processing Society of Japan 140

6 8 7 4 ID ID ID ID 9 ID0 ID ID ID 4 5 SVM(Support Vector Machine) PCM 44.1kHz 1 SAMUSUNG GALAXY Note3 ID1 SAMSUNG GALAXY Note3ID2 PC ID3 Apple MacBook Air % 9 1 Output Input Accuracy[%] Chest Front Back Hand Chest Front Back Hand ID 4 10 () () ID 5 (300 ) ID ID0 ID 2 2 ID Information Processing Society of Japan 141

7 2 ID ID ID 6 3 ID 6 ID / ID ID ID ID ID123 3 ID ID ID /10 9/12 5/16 2/2 9/9 5/7 5/12 4/9 1/10 12/15 4/10 1/17 ID ID ID ID 6. ID % ID ID () [1] H. Watanabe, T. Terada, and M. Tsukamoto: A Method for Embedding Context to Sound-based Life Log, Journal of Information Processing, Vol. 22, No. 4 (Oct. 2014). [2] : :,, pp (2014). [3] T. Heittola, A. Mesaros, A. J. Eronen, and T. Virtanen: Audio Context Recognition Using Audio Event Histograms, Proc. of the 18th European Signal Processing Conference (EUSIPCO2010), pp (2010). [4] M. Rossi, S. Feese, O. Amft, N. Braune, S. Martis, and G. Troster: AmbientSense: A Real-Time Ambient Sound Recognition System for Smartphones, International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp Information Processing Society of Japan 142

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