IIT Madras, IIS to build boxing analytics software to increase India's Olympics medal haul
Ishaan Arora | August 29, 2022 | 06:25 PM IST | 2 mins read
'Smartboxer' is designed to provide feedback and performance assessments via Internet of Things enabled wearable sensors, video cameras.
NEW DELHI: Researchers at the Indian Institute of Technology (IIT) Madras in collaboration with the Inspire Institute of Sports (IIS), have created a low-cost boxing analytics platform called 'Smartboxer,' to increase India's boxing medal tally at the Olympics 2024. The multi-version software is designed to provide feedback and performance assessments via Internet of Things (IoT)-enabled wearable sensors and video cameras.
To evaluate the boxers' performance at IIS, the "Smartboxer" analytics platform will be improved in response to IIS's suggestions. This will allow boxers and coaches to get the most out of the programme.
Also Read | IIT Madras Placement 2021-22: Highest number of offers ever; highest salary at USD 2,50,000
The Indian government has identified a few major sports in order to meet the ambitious goal of increasing medals at the 2024 Olympics such as athletics, badminton, wrestling, hockey, weightlifting, boxing, and shooting. “This technology that is being developed will act as a bridge between the coach and the elite athlete to identify, understand and improve the performance constructively. 'Smartboxer' is one among the many initiatives of IIT Madras aimed towards the Indian government's ambitious goal of winning more medals in the Olympics," Ranganathan Srinivasan , professor at IIT Madras said.
Also Read | How VR labs in medical colleges take hands-on learning to the next level
“This system will allow us to analyse a boxer’s performance in a way that aids progression. We will be able to highlight to the boxers their strengths as well as areas that require development such as patterns of movement, activity levels, and punch and defensive repertoires – both, technically and tactically. I am greatly excited by the system’s potential to use data and artificial intelligence in a bid to identify coaching points and support our observations of the athletes," John Warburton, Boxing head of IIS said.
Methodology
To give insights into player performance, the study uses IoT-based sensors and cameras.
1. It entails utilising IoT-based products like Sensor-embedded gloves to analyse punch force; wireless insoles with pressure sensors to record ground reaction force; wireless EMG sensors to record movement in the player's lower body, and an inertial measurement unit to record movement in the player's upper body.
2. In-ring video cameras will recognise a player's left and right arms and categorise their movements as an attack, a defence, or a fake.
IIT Madras researchers and IIS are planning to apply for a patent for the ‘Smartboxer’.
Follow us for the latest education news on colleges and universities, admission, courses, exams, research, education policies, study abroad and more..
To get in touch, write to us at news@careers360.com.
Quick Watch
]Featured News
]- Maharashtra’s new Class 6 social science textbook drops caste system, meat diet; paints rosy Vedic past
- IIIT Allahabad fines B.Techs who accept campus placement offers and then take other jobs, allege students
- Tamil Nadu: Chennai LKG fees highest in state; fee details of thousands of TN private schools public
- GMR Aero Technic’s aviation course produces professionals airlines can deploy from day one: President
- No more ‘half-baked doctors’: NMC scraps 2-year PG medical diplomas; over 3,300 seats will go to MD, MS
- MBBS interns seek uniform stipend policy as amounts vary wildly and private medical colleges underpay
- NEET UG 2026 Re-Exam: 20 Goa candidates denied extra 15 minutes at centre, demand inquiry
- ‘Not fashion design’: JK Lakshmipat University focuses on design as tool to solve problems, says director
- Three years on, BUHS has left 2 lakh paramedical students with no exams or results and a bleak future
- NEET Exam: Why more women qualify, top the lists, but still can't make it to AIIMS