TY - GEN
T1 - Manual Dexterity Assessment Using a Nine-Hole Pegboard Test
AU - Aneesha Acharya, K.
AU - Choudhary, Amartya
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - Manual dexterity is the ability to use the hands in a coordinated way to grasp and manipulate objects and to demonstrate slight precise movement. This research aims to develop an outcome measurement unit (pegboard) that tells about timing information of the hand activity and the accountability of the pegs movement. This paper seeks to create an automated pegboard with the help of photo-interrupter sensors, Infrared sensors, microcontroller, and adequate circuitry to reduce human error in time calculation. This pegboard test consists of two methods to assess hand–eye coordination: (1) Insertion of the peg and (2) Removal of the pegs. ATmega 2560 microcontroller helps in interfacing the hardware model with the software. Photo-interrupter helps in sensing removal and insertion of the pegs inside the peg holes. An inbuilt timer calculates the activity period in milliseconds. Test sessions showed that the average time taken to complete the test rises as the age increases, indicating the loss of hand–eye coordination and increment in underlying neural-related conditions as the age increases.
AB - Manual dexterity is the ability to use the hands in a coordinated way to grasp and manipulate objects and to demonstrate slight precise movement. This research aims to develop an outcome measurement unit (pegboard) that tells about timing information of the hand activity and the accountability of the pegs movement. This paper seeks to create an automated pegboard with the help of photo-interrupter sensors, Infrared sensors, microcontroller, and adequate circuitry to reduce human error in time calculation. This pegboard test consists of two methods to assess hand–eye coordination: (1) Insertion of the peg and (2) Removal of the pegs. ATmega 2560 microcontroller helps in interfacing the hardware model with the software. Photo-interrupter helps in sensing removal and insertion of the pegs inside the peg holes. An inbuilt timer calculates the activity period in milliseconds. Test sessions showed that the average time taken to complete the test rises as the age increases, indicating the loss of hand–eye coordination and increment in underlying neural-related conditions as the age increases.
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U2 - 10.1007/978-981-19-6913-3_30
DO - 10.1007/978-981-19-6913-3_30
M3 - Conference contribution
AN - SCOPUS:85151047859
SN - 9789811969126
T3 - Lecture Notes in Electrical Engineering
SP - 449
EP - 459
BT - Smart Sensors Measurement and Instrumentation - Select Proceedings of CISCON 2021
A2 - Chokkadi, Shreesha
A2 - Bandyopadhyay, Rajib
PB - Springer Science and Business Media Deutschland GmbH
T2 - Control Instrumentation System Conference, CISCON 2021
Y2 - 26 November 2021 through 27 November 2021
ER -