Additional organisation.

Gi-z · Feb 11, 2021 · 1c93be8 · 1c93be8
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diff --git a/External/Gesture Recognition/README.md b/External/Gesture Recognition/README.md
@@ -1,5 +1,13 @@
 ## Gesture Recognition
 
+**Name**: SignFi: Sign Language Recognition using WiFi and Convolutional Neural Networks\
+**Author(s)**: Yongsen Ma, Gang Zhou, Shuangquan Wang, Hongyang Zhao, and Woosub Jung\
+**Description**: Data captures for sign language gestures for 270+ gestures in 2 different environments.\
+**Overview**: https://yongsen.github.io/SignFi/\
+**Direct Link**: https://wm1693.box.com/s/z9vsrn3998n4xyzkpqtj89yclk28eatp\
+**Publication**: https://doi.org/10.1145/3310194\
+**Citation**: Yongsen Ma, Gang Zhou, Shuangquan Wang, Hongyang Zhao, and Woosub Jung. 2018. SignFi: Sign Language Recognition Using WiFi. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, Article 23 (March 2018), 21 pages. DOI: https://doi.org/10.1145/3191755
+
 **Name**: WiAR\
 **Author(s)**: Linlin Guo, Lei Wang, Jialin Liu, and Wei Zhou\
 **Description**: Data captures for 16 gestures performed by 10 subjects.\

diff --git a/Internal/intel/heartrate/92bpm.dat → Internal/Atheros/Example/README.md b/Internal/intel/heartrate/92bpm.dat → Internal/Atheros/Example/README.md
diff --git a/Internal/atheros/sample_bigEndian.dat → ...rnal/Atheros/Example/sample_bigEndian.dat b/Internal/atheros/sample_bigEndian.dat → ...rnal/Atheros/Example/sample_bigEndian.dat
diff --git a/Internal/nexmon/40mhz_1600085286.pcap → ...al/Broadcom/Example/40mhz_1600085286.pcap b/Internal/nexmon/40mhz_1600085286.pcap → ...al/Broadcom/Example/40mhz_1600085286.pcap
diff --git a/Internal/nexmon/test.pcap → Internal/Broadcom/Example/test.pcap b/Internal/nexmon/test.pcap → Internal/Broadcom/Example/test.pcap
diff --git a/Internal/Broadcom/README.md b/Internal/Broadcom/README.md
diff --git a/Internal/nexmon/walk_1597159475.pcap → Internal/Broadcom/walk_1597159475.pcap b/Internal/nexmon/walk_1597159475.pcap → Internal/Broadcom/walk_1597159475.pcap
diff --git a/Internal/README.md b/Internal/README.md
diff --git a/Internal/intel/misc/log.all_csi.6.7.6.dat → Internal/intel/Example/log.all_csi.6.7.6.dat b/Internal/intel/misc/log.all_csi.6.7.6.dat → Internal/intel/Example/log.all_csi.6.7.6.dat
diff --git a/Internal/intel/heartrate/testfile.dat → Internal/intel/Example/testfile.dat b/Internal/intel/heartrate/testfile.dat → Internal/intel/Example/testfile.dat
diff --git a/Internal/intel/heartrate/3breaths.dat → Internal/intel/Heart Rate/3breaths.dat b/Internal/intel/heartrate/3breaths.dat → Internal/intel/Heart Rate/3breaths.dat
diff --git a/Internal/intel/heartrate/66bpm.dat → Internal/intel/Heart Rate/66bpm.dat b/Internal/intel/heartrate/66bpm.dat → Internal/intel/Heart Rate/66bpm.dat
diff --git a/Internal/intel/heartrate/71bpm.dat → Internal/intel/Heart Rate/71bpm.dat b/Internal/intel/heartrate/71bpm.dat → Internal/intel/Heart Rate/71bpm.dat
diff --git a/Internal/intel/heartrate/73bpm.dat → Internal/intel/Heart Rate/73bpm.dat b/Internal/intel/heartrate/73bpm.dat → Internal/intel/Heart Rate/73bpm.dat
diff --git a/Internal/intel/heartrate/75bpm.dat → Internal/intel/Heart Rate/75bpm.dat b/Internal/intel/heartrate/75bpm.dat → Internal/intel/Heart Rate/75bpm.dat
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diff --git a/Internal/intel/heartrate/84bpm.dat → Internal/intel/Heart Rate/84bpm.dat b/Internal/intel/heartrate/84bpm.dat → Internal/intel/Heart Rate/84bpm.dat
diff --git a/Internal/intel/heartrate/88bpm.dat → Internal/intel/Heart Rate/88bpm.dat b/Internal/intel/heartrate/88bpm.dat → Internal/intel/Heart Rate/88bpm.dat
diff --git a/Internal/intel/heartrate/90bpm.dat → Internal/intel/Heart Rate/90bpm.dat b/Internal/intel/heartrate/90bpm.dat → Internal/intel/Heart Rate/90bpm.dat
diff --git a/Internal/intel/Heart Rate/92bpm.dat b/Internal/intel/Heart Rate/92bpm.dat
diff --git a/Internal/intel/heartrate/csi.dat → Internal/intel/Heart Rate/csi.dat b/Internal/intel/heartrate/csi.dat → Internal/intel/Heart Rate/csi.dat
diff --git a/Internal/intel/heartrate/csi2.dat → Internal/intel/Heart Rate/csi2.dat b/Internal/intel/heartrate/csi2.dat → Internal/intel/Heart Rate/csi2.dat
diff --git a/Internal/intel/heartrate/hometest1.dat → Internal/intel/Heart Rate/hometest1.dat b/Internal/intel/heartrate/hometest1.dat → Internal/intel/Heart Rate/hometest1.dat
diff --git a/Internal/intel/heartrate/hometest10.dat → Internal/intel/Heart Rate/hometest10.dat b/Internal/intel/heartrate/hometest10.dat → Internal/intel/Heart Rate/hometest10.dat
diff --git a/Internal/intel/heartrate/hometest2.dat → Internal/intel/Heart Rate/hometest2.dat b/Internal/intel/heartrate/hometest2.dat → Internal/intel/Heart Rate/hometest2.dat
diff --git a/Internal/intel/heartrate/hometest3.dat → Internal/intel/Heart Rate/hometest3.dat b/Internal/intel/heartrate/hometest3.dat → Internal/intel/Heart Rate/hometest3.dat
diff --git a/Internal/intel/heartrate/hometest4.dat → Internal/intel/Heart Rate/hometest4.dat b/Internal/intel/heartrate/hometest4.dat → Internal/intel/Heart Rate/hometest4.dat
diff --git a/Internal/intel/heartrate/hometest5.dat → Internal/intel/Heart Rate/hometest5.dat b/Internal/intel/heartrate/hometest5.dat → Internal/intel/Heart Rate/hometest5.dat
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diff --git a/Internal/intel/heartrate/hometest8.dat → Internal/intel/Heart Rate/hometest8.dat b/Internal/intel/heartrate/hometest8.dat → Internal/intel/Heart Rate/hometest8.dat
diff --git a/Internal/intel/heartrate/hometest9.dat → Internal/intel/Heart Rate/hometest9.dat b/Internal/intel/heartrate/hometest9.dat → Internal/intel/Heart Rate/hometest9.dat
diff --git a/Internal/intel/misc/testfile.dat → Internal/intel/Heart Rate/testfile.dat b/Internal/intel/misc/testfile.dat → Internal/intel/Heart Rate/testfile.dat
diff --git a/Internal/intel/heartrate/xbpm.dat → Internal/intel/Heart Rate/xbpm.dat b/Internal/intel/heartrate/xbpm.dat → Internal/intel/Heart Rate/xbpm.dat
diff --git a/Internal/intel/README.md b/Internal/intel/README.md
diff --git a/README.md b/README.md
@@ -2,9 +2,50 @@
 
 ## Introduction
 
-This repo also aims to provide examples of CSI data with specific labelling data to facilitate experimentation.
+This repository is a collection of CSI data generated using commercial-off-the-shelf hardware, such as the Intel IWL5300 and supported Atheros and Broadcom (Nexmon) chipsets.
 
+## Overview
 
+- [External](https://github.com/Gi-z/CSI-Data/tree/main/External)
+  - [Activity Recognition](https://github.com/Gi-z/CSI-Data/tree/main/External/Activity%20Recognition)
+  - [Communication](https://github.com/Gi-z/CSI-Data/tree/main/External/Communication)
+  - [Fall Detection](https://github.com/Gi-z/CSI-Data/tree/main/External/Fall%20Detection)
+  - [Gesture Recognition](https://github.com/Gi-z/CSI-Data/tree/main/External/Gesture%20Recognition)
+  - [Human Identification](https://github.com/Gi-z/CSI-Data/tree/main/External/Human%20Identification)
+  - [Presence Detection](https://github.com/Gi-z/CSI-Data/tree/main/External/Presence%20Detection)
+
+- [Internal](https://github.com/Gi-z/CSI-Data/tree/main/Internal)
+  - [Atheros](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Atheros)
+    - [Example](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Atheros/Example)
+  - [Broadcom](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Broadcom)
+    - [Example](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Broadcom/Example)
+  - [Intel](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Intel)
+    - [Activity](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Intel/Example)
+    - [Example](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Intel/Example)
+    - [Heart Rate](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Intel/Example)
+    - [Respiration](https://github.com/Gi-z/CSI-Data/tree/main/Internal/Intel/Example)
+
+## References
+
+[1] Baha’A, A., Almazari, M.M., Alazrai, R. and Daoud, M.I., 2020. A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments. Data in Brief, 33, p.106534.\
+
+[2] Fang, S., Islam, T., Munir, S. and Nirjon, S., 2020, May. EyeFi: Fast Human Identification Through Vision and WiFi-based Trajectory Matching. In 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 59-68). IEEE.\
+
+[3] Guo, X., He, Y., Zheng, X., Yu, L. and Gnawali, O., 2020. Zigfi: Harnessing channel state information for cross-technology communication. IEEE/ACM Transactions on Networking, 28(1), pp.301-311.\
+
+[4] Klein Brinke, Jeroen (2019): Channel state information (WiFi traces) for 6 activities. 4TU.ResearchData. Dataset. https://doi.org/10.4121/uuid:42bffa4c-113c-46eb-84a1-c87b6a31a99f\
+
+[5] L. Guo et al., "A novel benchmark on human activity recognition using WiFi signals," 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom), Dalian, 2017, pp. 1-6, doi: 10.1109/HealthCom.2017.8210783\
+
+[6] Palipana, Sameera & Rojas, David & Agrawal, Piyush & Pesch, Dirk. (2018). FallDeFi: Ubiquitous Fall Detection using Commodity Wi-Fi Devices. PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). 1. 10.1145/3161183.\
+
+[7] S. Yousefi, H. Narui, S. Dayal, S. Ermon and S. Valaee, "A Survey on Behavior Recognition Using WiFi Channel State Information," in IEEE Communications Magazine, vol. 55, no. 10, pp. 98-104, Oct. 2017, doi: 10.1109/MCOM.2017.1700082.\
+
+[8] Wang, Z., Gu, Z., Yin, J., Chen, Z. and Xu, Y., 2018, October. Syncope detection in toilet environments using Wi-Fi channel state information. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 287-290).\
+
+[9] Yongsen Ma, Gang Zhou, Shuangquan Wang, Hongyang Zhao, and Woosub Jung. 2018. SignFi: Sign Language Recognition Using WiFi. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, Article 23 (March 2018), 21 pages. DOI: https://doi.org/10.1145/3191755
+
+[10] Anonymous Author. (2020). A Wi-Fi Channel State Information (CSI) and Received Signal Strength (RSS) data-set for human presence and movement detection (Version 0.2.2) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3677366\
 
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