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Team members

Darrell Chia Yun Leng (EPD), Siti Nurbaya (EPD), Hadi Bin Alwi (ISTD), Chow Jia Yi (ISTD), Nguyen Minh Dang (ISTD), Muhammad Akmal Hakim Muhammad Imran Teo (ISTD)


Lu Zhuo Ming Kenny, Michinao Hashimoto

Writing Instructors:

Wong Yoke Chee Susan

Teaching Assistant:

Anirudh Maruvada

Project Description

reHapp is a solution designed to improve patients’ anterior cruciate ligament (ACL) rehabilitation journey. By combining advanced digital technology with age-old wisdom of your physiotherapist, reHapp enhances your recovery journey by providing personalised digital therapy and continuous monitoring until full recovery.

Project Summary

In the past 20 years, ACL injury rates have increased by 2.3% annually. This annual growth means there is a growing demand for ACL rehabilitation.

For most rehabilitation treatments after an injury, visiting the physiotherapist for consultations twice a week is not enough. Patients must also do their prescribed exercises daily. Adherence to the prescribed exercise greatly influences the rate of recovery. However, there is much to be improved in this entire rehabilitation process for both patients and physiotherapists. 

Understanding Target Audiences

For patients, many lack the time and financial means to visit the clinic twice a week and hence, lack sufficiently regular sessions. They are also often lacking confidence in their ability to complete exercises correctly without suffering further injury.

For physiotherapists, they find that there is a lack of precise tracking of patients’ exercise form and regularity, outside of the clinic. Often, they also struggle to convince patients that they are ready to progress to more advanced exercises since patients feel they have not improved. Lastly, many clinics, especially in public hospitals, have too many patients to see regularly, resulting in long lapses in treatment.

Hence, reHapp serves to solve these problems for both patients and physiotherapists while improving the pace and quality of recovery. It consists of a set of wearables to record accurate exercise data that comes with a user-friendly mobile application to facilitate the rehabilitation journey. 

reHapp is not designed to replace traditional physiotherapy but to complement it, improving the lives of both patients and physiotherapists.

Why reHapp

Accurate and Reliable Output  

ReHapp utilises the state-of-the-art wearable sensors that provide highly accurate body kinematic motion tracking data. These sensors provide our intelligent data processing software with a wide range of information to track a person’s body movements and exercise form. For example, if a user wearing our sensors does a  squat, we process the tracking data to obtain relevant exercise parameters that determine how well that squat is done.  

The precision of our sensors has been tested rigorously. In one of the tests we carried out, a robotic arm with our sensors attached was used to simulate a user doing a squat. The sensors were capable of measuring angles within 2 degrees of actual measurements, proving them to be precise and consistent.

However, accurate sensors do not equate to correct data analysis, it needs to give the right result. 

The table above proves the capabilities of our data processing software. Among 4 sets of chair squats done by a test subject, reHapp was able to accurately analyse the mistakes and provide the right feedback needed to improve.


4 Sets of Chair Squats

Leaned Too Forward

Too High

Too Low and Leaned Too Forward


Set Score





Smallest Knee Angle





Smaller Hip Angle





reHapp Feedback

“Leaning too far to the front”

“Not squatting low enough”

“Squatting too low, Leaning too far to the front”


Accurate Assessment?


High-end Comfortable Straps

Fabric layer – A brushed, nylon/spandex knitted blend of various stretch capabilities. Provides adjustability for optimal fit and ease of use.

X-layer core – Ester-based, high elasticity polyurethane foam with durable low compression-set properties for enhanced stability and support.

Fabrifoam layer – Polyether polyurethane open-cell foam with a high coefficient of friction for slip resistance, breathability and comfortable 24/7 skin contact.

The straps are designed to be comfortable, breathable and well fitted to a user carrying out exercises.

Cloud Storage-enabled, allowing Physiotherapists to retrieve the Patients’ exercise data. 

Through the use of cloud storage, physiotherapists can retrieve and view patient’s exercises information from anywhere.

The data captured is uploaded to the cloud for the physiotherapists to use, enabling them to plan a more tailored exercise prescription for their patients. This results in a more efficient and effective prescription, hence, expediting the patients’ rehabilitation journeys.

Easy Patient Onboarding Process

  • For ease of the onboarding process, patients will have to register only with their basic information and a referral code. This referral code will tag the patient with his or her physiotherapist’s information. 

Provides Both Qualitative and Quantitative Feedback 

  • Linking to patient need, reHapp gives patients objective and quantitative feedback after each set. This helps with giving certainty if they have done their exercises in a proper manner. The qualitative feedback will inform patients on what they have done incorrectly. However, it is not enough to tell what they do incorrectly. Thus, reHapp informs the patients on how they can improve their next set.

  • For a quick evaluation of their set, reHapp gives feedback on an overall exercise score based on the similarity between the exercises they do at home and the exercise patients did in the clinic and how proper are their postures. 


Post-Exercise Questionnaire to encourage Reflection 

After each exercise, reHapp will prompt patients to fill a post-exercise questionnaire. This encourages patients to reflect on their exercise experiences, potentially improving their intrinsic motivation. This reflection also aims to capture crucial intangible parameters that cannot be captured during exercise itself. 




Industry Partner:

precision medical


student Darrell Chia Yun Leng Engineering Product Development
student Siti Nurbaya Engineering Product Development
student Hadi Bin Alwi Information Systems Technology and Design
student Chow Jia Yi Information Systems Technology and Design
student Nguyen Minh Dang Information Systems Technology and Design
student Muhammad Akmal Hakim Muhammad Imran Teo Information Systems Technology and Design
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