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Smart Radios for Smart LifeOctober 2017

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CommunityInnovationCategoryGrand Prix

Thank You!

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Origin Wireless, Inc.

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会社名： Origin Wireless Inc.

所在地： Suite 1070, ： 7500 Greenway Center Drive, Greenbelt, MD, 20770. U.S.A.

代表者： K. J. Ray Liu Ph.D

設立： 2014年

Founder & CEO

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Dr. Liu received the B.S. degree from the National Taiwan University in 1983, andthe Ph.D. degree from UCLA in 1990, both in electrical engineering. He was nameda Distinguished Scholar-Teacher of University of Maryland in 2007, where he isChristine Kim Eminent Professor of Information Technology.

Dr. Liu leads the Maryland Signals and Information Group (SIG) with researchcontributions that encompass broad aspects of signal processing andcommunications, including wireless communications; network science; multimediasignal processing; information forensics and security; bioinformatics; and signalprocessing algorithms and architectures, in which he has published over 10 booksand 700 refereed papers. Over the years, he has trained over 60 Ph.D. andpostdoctoral students, of which eight of them are now IEEE fellows, and most ofwhom are active members of major universities and industrial institutionsworldwide.

Dr. Liu is a member of IEEE Board of Director as the Division IX Director. He wasPresident of IEEE Signal Processing Society, in which he has also served as VicePresident - Publications and a member on the Board of Governor. He was theEditor-in-Chief of IEEE Signal Processing Magazine and the founding Editor-in-Chief of EURASIP Journal on Advances in Signal Processing (JASP). Dr. Liu was afounder of Asia-Pacific Association of Signal and Information Processing (APSIPA).He has served as Director of Graduate Studies and Research, and Associate Chairof Electrical and Computer Engineering Department.

K. J. Ray Liu Ph.D.

Origin Wireless Japan 株式会社

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社名： Origin Wireless Japan 株式会社

所在：東京都千代田区丸の内１－５－１新丸の内ビルディング９F

代表：丸茂正人

設立：平成28年11月21日

資本金： 1000万円

メンバー：COO執行役員：角谷友行執行役員経営企画：藤井聡

Company Overview

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“Wi-Fiの電波を活用した革新的なプラットフォームにより、物理的なセンサーを使わずに様々な屋内空間検知を実現。

1)223�#24-5-21-1,��%3'(.-1,

屋内で、デバイスを持った人・物の位置を1～2cmの精度で特定し、50cmの精度で自由追尾も可能

�20*��"++-(*$'+*56�'1)�!21-523-1,

カメラやセンサーなしで屋内における人の動き、ドアや窓の開閉を検知することが可能

&-5'/�$-,14�*5*(5-21��!21-523-1,

非接触で、複数人の呼吸を隣室からでもリアルタイムモニタリングが可能

“

Current IoT Paradigm: Sensored Life

• Sensor Dependent: Needs power, connectivity, replacement, and with no Intelligence• Requires “Trillions“ to be installed and managed to provide meaningful service• Radio used just for connectivity (just another cost item)• Intelligence is in the Cloud: rule of the game is “Scale”• A.I. will be provided “as a service” (= commodity)

2017 Origin Wireless® Inc. | Proprietary & Confidential

Big (Raw) Data

on Cloud

NumerousPhysical Sensors Connectivity

4G, BLE, Zigbee, etc.

+ +

Redefining IoT Paradigm

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Next-Gen IoT Paradigm: Smart Radio for Smart Life

• No need of installation: utilizing existing infrastructure• Radio used for sensing and visualization, in addition to connectivity• Unlimited multi-path functioning as virtual/ad-hoc sensors• Intelligence is at the Edge: rule of the game is “Scope”• A.I. will be source of differentiation and innovation


Virtual SensorsVisualization

Local Intelligence +

Redefining IoT Paradigm

Smart Dataon Cloud

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Time Reversal Machine Foundation for Society 5.0

Time Reversal Machine

- Utilities-Telecoms- Security

Smart Homes

-Developers- Building

Owners

- Retails- Brands-Franchise

- Robots- Drones- Hotels- Airports

- AutoOEMs

- Tier-1/2

Smart Offices

Smart Malls

Smart Factories

Smart Cars

様々な分野のIoTサービスプロバイダー

無限のアプリケーション

テクノロジープラットフォーム

2017 Origin Wireless® Inc. | Proprietary & Confidential 9

TimeReversalMachine

Guard

Motion

LocationingTracking

5GCommunication

HumanBiometrics

WirelessPower

Charging

FallDetection

BreathingOrigin Time Reversal Machine™


Time Reversal Machine とは、無線マルチパスの位相変化の意味を、独自のアルゴリズムで判定する、一連の目的別A.I.エンジンです。

™

は、複数のTRMの組み合わせによる革新的なサービスを実現するプラットフォームを提供します。

20cmの精度を確保するために、35個のアンカーデバイスが必要2017 Origin Wireless® Inc. | Proprietary & Confidential

現在のIoTパラダイム：”Sensored Life”容易な設置

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Origin Wireless：たった1つのアンカーデバイスで2cm精度を実現2017 Origin Wireless® Inc. | Proprietary & Confidential

次世代IoTパラダイム：”Smart Radio for Smart Life”

容易な設置

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Microsoft Indoor Localization Competition

00.5

11.5

22.5

33.5

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Origin Wireless: 1-2 cm

2015

1st 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th

0.20 0.31 0.39 0.60 0.73 0.74 0.78

1.371.63

1.90

2.60

3.50

Loca

lizat

ion

Erro

r (m

)

00.5

11.5

22.5

33.5

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Origin Wireless: 1-2 cm

2016

1st 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th

0.16 0.23 0.29 0.370.58 0.60 0.81

1.221.43

1.80

2.592.86

Loca

lizat

ion

Erro

r (m

)

Top 12 Ranking

https://www.microsoft.com/en-us/research/event/microsoft-indoor-localization-competition-ipsn-2015/https://www.microsoft.com/en-us/research/event/microsoft-indoor-localization-competition-ipsn-2016/


高い位置情報精度

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既存システム

異常イベント判断トリガー


異常イベント A.I. #1観察観察

A.I. #2 判断

高度な判断ロジック

Origin Time Reversal Machine™

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Origin Wireless®

競合技術との比較

Slow and Costly Plug & Play

Single Trigger Cross-EventConfirmation

No Yes

> 94% < 0.5%

Reinstall Sensors Through Cloud

設置

イベント検知

学習システム誤検知*拡張性

Origin Time Reversal Machine™

* Particularly for Home Security (Guard/Motion).Source: http://www.homesecurity.io/false-alarmsA report in 2000 shows that there were 36 million false alarm calls (to the police) . These cost a total of almost $2 billion in resources.


��

�BCEG

The system relies on a set of Smart Radio devices, one Origin and one or more Bot(s), to work as a pair for smart home applications.

Hardware Device

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Smaller-sized space Larger-sized space

OriginBot

CoverageSmart Radio Environment

Single Origin-Bot pair (now)

Origin-multi-Bot pairs (developing)

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Bot�Wi-Fi ��

Origin��

��9�:<��7��>� ��FDIH=@�9��è FDIH�A��:7��>�A��:?;8

Bot

Origin

Time Reversal Machine(TRM)

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屋内での人の動き、ドアや窓の開閉を検知Motion Monitoring

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• 住人の生活パターンや周囲環境を学習し最適化• 死角がなく、トイレや階段等のスペースも見守り• 迅速なセットアップ、安価な導入/ランニング・コスト• プライバシーへも配慮

人の転倒をリアルタイムに検知• ウエアラブル機器が不要• 事前学習はほぼ不要• 死角がなく、風呂場や廊下、クローゼットなども見守り

• 安価な導入/ランニングコスト• プライバシーへも配慮

Fall Detection

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TRMによる呼吸検知

Bot

Origin

人体などの動きによる電波の反射経路パターンの周期的な変化を検知。è胸の動きに応じた特徴を検知することにより呼吸数をモニタリング

定期的な動き

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呼吸のペースを継続的にモニタリング• 複数人を同時に検知• 標準ペースからの乖離を警告• 死角がない• 迅速なセットアップ• 安価な導入/ランニング・コスト• プライバシーへも配慮

Breath Monitoring

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センサー設置不要カメラ設置不要

ウエアラブル不要A.I.の組合せと継続学習

• 日中は日常生活の動きを見守り• 就寝後は呼吸ペースを見守り• アラート発信に際してアクション不要• 生活パターンや周囲環境などの“Soft Life-Log”を学習し最適化

Alert for “Breathing Irregularities”

Alert when “No Activities”

Origin Smart “Mimamori”

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TR for インドア位置情報

Bot

Position A

Position B

Position C

Position D

A

B

C

D

対象物の位置毎に異なる信号パターンを検知èIndoor Positioning & Trackingを実現

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Indoor Positioning

Centimeter Accuracy Indoor Localization

Origin’s Time-Reversal Indoor Position System (TRIPS) is the world’s first indoor localization technology that can achieve a 1~2cm-level localization accuracy.

2017 Origin Wireless® Inc. | Proprietary and Confidential

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Fixed-Path Real-Time Centimeter Accuracy NLOS Indoor Tracking

Origin’s technology is the world’s first indoor localization technology that can achieve a 1~2cm-level localization accuracy. With the Time Reversal Machine®, the system outperforms the current available solutions by utilizing the non-line-of-sight (NLOS) condition.

IndoorTracking

2017 Origin Wireless® Inc. | Proprietary and Confidential

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Origin Wireless の価値センサーレスインフラ不要

超高精度・高感度インテリジェンスPlug & Play!


ビジネススキーム

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【デバイス】

Wi-Fiルーターや組込み機器など、パートナーにて自由に対応機器を開発・販売が可能

【サービス】

弊社APIを通じて、クラウドから検知結果をご提供。パートナーにて様々なサービスの構築が可能

エンドユーザーor

サービスプラットフォーム

EventOriginOrig in Wire les s

BotOrig in Wire les s

OriginBOT クラウドプラットフォーム

OWCloudServerMotion Engine

Other Engines

Breathing Engine APIアプリ

参考文献

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Wireless Events Detection:Q.Y. Xu, Y. Chen, B.B. Wang, and K.J.R. Liu, "TRIEDS: Wireless Events Detection Through the Wall", to appear, IEEE Internet of Things Journal. (This work shows we can monitor wireless events if they change the CSIs dramatically.)

Breathing Detection and monitoring:C. Chen, B.B. Wang, Y. Han, Y. Chen, F. Zhang, H.Q. Lai, and K.J.R. Liu, "TR-BREATH: Time-Reversal Breathing Rate Estimation and Detection", to appear, IEEE Trans. on Biomedical Engineering. (This work show how we can perform breathing monitoring via WiFi.)

Indoor Locationing and Tracking:Z.H. Wu, Y. Han, Y. Chen, and K.J.R. Liu, "A Time-Reversal Paradigm for Indoor Positioning System", IEEE Transactions on Vehicular Technology, vol 64, no 4, pp.1331-1339, special section on Indoor localization, tracking, and mapping with heterogeneous technologies, April 2015. (This is the first work that shows time-reversal can achieve centimeter accuracy for indoor positioning.)

C. Chen, Y. Chen, Y. Han, H.Q. Lai, F. Zhang, and K.J.R. Liu, "Achieving Centimeter Accuracy Indoor Localization on WiFi Platforms: An Multi-Antenna Approach", IEEE Internet of Things Journal, vol 4, no 1, pp. 122-134, Feb 2017. (This work shows how to achieve centimeter accuracy for indoor positioning using WiFi.)

C. Chen, Y. Han, Y. Chen, and K.J.R. Liu, "Indoor Global Positioning System with Centimeter Accuracy Using Wi-Fi", IEEE Signal Processing Magazine, vol 33, no 6, pp.128-134, Nov 2016. (This work shows how to exploiting diversities to achieve centimeter accuracy for indoor positioning.)

Radio Biometric for human recognition:Q.Y. Xu, Y. Chen, B.B. Wang, and K.J.R. Liu, "Radio Biometrics: Human Recognition Through a Wall", IEEE Trans. on Information Forensics and Security, vol12, no 5, pp.1141 - 1155, May 2017. (This work shows our accuracy allow us to recognition human using radios even through the wall.)

Thanks!http://www.originwireless.net

[email protected] 10707500 Greenway Center DriveGreenbelt, MD 20770

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