Table 3 Summary on the sensors utilization during dexterity simulation-based training

Inertial measure ment unit (IMUs)

3-axis gyroscope, 3-axis accelerometer and 3-axis magneto- meter

1. IGlove for three fingers 2. Exosuit

1. MPU-9250 from InvenSense 2. Bosch Sensortec BNO055’s

Manual dexterity for upper limb

[8, 68]

N/A

Exosuit

MTi-3, XSens, Netherlands

Paratic ankle assistance

[28]

N/A

Hip assistance

MPU-9150 from In venSense

Skin stretch evaluation

[69]

3-axis with barometric pressure sensor

Wrist worn IMU

Resense with 10-DOF

Assess arm assistance

[70]

N/A

EMS based IMUs at tached to the hand

9-DOF per finger point

Finger dexterity

[35]

N/A

Exoskeleton for elbow

N/A

Elbow rehabilitation

[48]

Accelerometer and flex sensor

Exosuit for thumb

9 DOF (Bosch BNO055, breakout board by Adafruit)

Application evaluation

[34]

Force sensing resistors(FSRs)

N/A

Shoe insoles

Supports foot pronation and supination

Foot strike assistant

[29]

Vibrotactile force sensor

Desk-fixed mounting

Honey-well FSS1500

In-hand dexterity

[47]

Wearable hard prototype

MW-AHRS, NTRexLAB and Flex force, Tekscan

Training of ankle foot Orthosis pa tients

[26]

Flexforce sensor

Dexk-fixed mounting

Tekscan

Grip force application during robotic sugery

[54]

Flexbend sensor

Dexterity glove

N/A

Post-stroke rehabilit- ation

[55]

Triaxial accelerometer and strain sensor

Nail attachment

Contact Force sen sor HapLog (Kato Tech Co., Ltd., Kyoto, Japan)

Finger dexterity

[71]

Pressure sensor

N/A

Finger socket-based fabrication

MPX5500DP, Freescale, USA)

Hand rehabilitation

[37, 41]

N/A

Shoe type fabrication

Collect pressure data from the critical points

Improving lower limb points

[62]

N/A

Stacked array type fab ricated glove

pressure-sensitive polymer (Velostat\(^{\textrm{TM}}\), 3M, Maplewood, MN USA)

Control of prosthetic limbs

[61]