footLogger.



걸음걸이로 질병 확인과 조기예측이 가능하다면?


What if disease identification and early prediction are possible by analyzing walking?

The IoMT insole-based Personal Mobile Gait Analysis System footLogger can.


footLogger, a Personal Mobile Gait Analysis System, is a world-class IoMT insole that monitors and analyzes your daily walking with various gait parameters and an accuracy equivalent to medical devices, 24 hours a day, 365 days a year.


footLogger system

Personal mobile gait analysis system requirements for non-face-to-face gait analysis

Move to left right when mobile. ←→ 

IoMT Insole-based personal mobile gait analysis system requirements
for non-face-to-face gait analysis
footLogger
Korea P
Korea S
Korea J
France F
For consumer
Can be used by the publice?
O
O
O
X

Everyday walking
24 hours 365 days
Comfort, weight, waterproof, internal storage,
pressures sensor durability, low power consumption
O
X

X
O
Medical device level
gait analysis
Measurement index (KATS, Papers)
O
X
X
O
O
Measurement accuracy (Validation status)
O
X
X
X
O
Easy to use
Wireless charging(Sanitary charging)
O
X

X

Convenient to use
Smartphone App required
No
Yes
Yes
-
Yes
Automatic collection of walking data
O
X
X
X
X
Automatic uploading of collected walking data
O
X
X
X
X

footLogger system

The footLogger system (Personal Mobile Gait Analysis System based on IoMT Insole) is composed of an IoMT insole(footLogger), automatic IoMT insole wireless charging and data transmission device(shoeStation), cloud-based walking data analysis server(fGait), and smartphone app for footLogger and shoeStation control (fManager).

  • footLogger. (IoMT, Smart Insole)
  • shoeStation. (Wireless Charger & Bluetooth-WiFi Gateway)
  • fGait. (Cloud Server for Gait Data Analysis)
  • fManager. (Smartphone App for footLogger & shoeStation Control)

(IoMT Insole) 

footLogger is an Internet of Medical Things (IoMT) insole with built-in pressure sensors, 3-axis acceleration sensor, 3-axis gyro sensor, Bluetooth wireless communication, data storage, and wireless charging functions. You can put it in your shoes and monitor your daily gait 24 hours a day, 365 days a year. The collected data is analyzed and utilized in a crowd-based walking data analysis system (fGait).

인솔당 최대 5만보(좌우 10만보)까지 저장할 수 있으며, 만충할 경우 최대 3일까지 보행데이터를 수집할 수 있습니다. 인솔(깔창)교체가 가능한 대부분의 신발(운동화, 캐주얼화)에 사용가능하며 방수가 되어 세탁 가능합니다.


(50mm Wireless charging & BT-WiFi Gateway)

The convenient transmission of collected data and effortless charging are critical for the spread of wearable devices in healthcare. To this end, we developed the shoeStation, with 50mm wide spacing wireless charging technology and Bluetooth-WiFi Gateway technology. When you place your footLogger equipped shoes on the shoeStation, it automatically charges transfers data to the cloud. This method was developed to allow elderly people who need daily health care to easily charge the footLogger and transmit data without a smartphone.

How to use the footLogger

  • Wear shoes with footLogger in it.
  • When you come home, put your shoes on the shoeStation (automatic charging, automatic data transmission).
  • Receive the analysis results on a smartphone.

50mm distance wireless charging
Bluetooht / WiFi Gateway

fool-proof design

The shoeStation was designed by applying a fool-proof design concept so that wireless charging can perform well by simply putting the footLogger in the intuitively correct position without the need to educate the user on how to put the shoe in the correct position. 


(Cloud Server for gait data analysis) 

By processing the raw gait data collected by the IoMT insole, gait parameters for each step are extracted. Physical activity evaluation, abnormal gait evaluation, rule-base degenerative disease evaluation, and rehabilitation/recovery monitoring are possible with the gait parameters extracted from fGait. This data is processed using AI technology to identify and evaluate diseases as well as for early prediction.


fGait

fGait. extracts the following gait parameters from the raw gait data and calculates their Average, SD, %CV, and %GC. The results can be compared with the reference values of hundreds of elderly people collected in Korea and the United States.

- Cadence

- Stride/swing/stance/step time 

- Single support time, double support time 

- Initial double support time, terminal double support time 

- Loading response, heel pitch, midstance time 

- Stride length

- Walking speed (velocity) 

- COP 

- Dynamic foot pressure distribution 

- Pressure generation time and duration for each pressure sensor

fGait

In particular, by measuring the stride length of every individual step (not the average stride length), many (medical) academic stride/walk speed-based walking research results can be utilized by the general public in daily life.


fGait

fGait Dashboard

Pressure generation time and duration for each pressure sensor


(Smartphone App for footLogger&shoeStation control)

This is a smartphone app used to select a data collection format and start, stop data collection and upload, delete data collected in a research and development environment. You can also check whether the sensors built in the footLogger are working properly and connect the shoeStation to nearby wireless LAN APs.


3LLabs

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Address.  1108, E&C Dream Tower 7th, 46, Digital-ro 9-gil, Geumcheon-gu, Seoul, Korea, 3L Labs Co., Ltd. 

E-mail.  3llab@3llab.com