DorsaVi
dorsaVi Ltd is an Australian founded (2008) Bio-Technology company focused on wearables and motion analysis software.
Biography
DorsaVi Ltd is an innovative global technology company specializing in wearable sensor solutions for movement analysis, injury prevention, and performance optimization. Established in 2008 and headquartered in Melbourne, Australia, DorsaVi is a public company listed on the ASX and works in digital health and ergonomic solutions. The company’s core technology involves advanced wearable sensors that capture real-time biomechanical data, enabling objective assessment of physical movement in various environments, from clinical settings to workplaces and sports fields.
DorsaVi’s product portfolio includes devices like ViMove+ and ViSafe+, which are designed to monitor human movement, identify abnormal motion patterns, and assist clinicians, physiotherapists, and corporate ergonomics teams in making informed decisions. Their solutions are used across multiple industries such as healthcare, sports, workers’ compensation, industrial safety.
Product Types
Sensor Based Measurements
dorsaVi develops IMU and EMG based sensors to measure parameters such as:
- Force;
- Joint Range of Motion;
- Limb deviation; and
- Muscle Activity, etc.
The wearable sensors are typically adhered to the body using medical grade adhesives, and are controlled by an iPad App (using Bluetooth Low Energy). Typical users include Physical Therapists, Pain Physicians, Surgeons, GYMs, Personal Trainers, Workplace Health, Safety & Risk teams.
The sensors may, for example, be fitted to the tibias of a patient who is then instructed through a guided protocol by a PT. The App captures data streaming from the sensors and allows practitioners to measure ranges of motion and other parameters. For example:
- in a double leg squat, the angle of the tibia to the gravity line gives an indication of squat depth. This can be useful in a number of conditions to gauge restriction of joints and progress of injury rehabilitation..[1]
- When used for running, the tibia sensor can ascertain Initial Peak Acceleration (IPA), Ground Contact Time (GCT), Raw running forces, Symmetry between left and right leg (ASI.[2]), etc.
- When fitted to the lower back, the sensors can advise full range of motion of the lumber spine, contribution of pelvic and mid back vertebrae to the movement, and provide real time biofeedback[3] based on movement patterns, etc.
Users typically gather these parameters to:
- gain insights into bio-mechanics;
- assess a training regime and make improvements;
- baseline an athlete’s strengths and weaknesses to help design a training regime;
- assist with assessing disability and function;
- track progression through rehabilitation following an injury;
- for research into bio-mechanics or musculoskeletal conditions.
dorsaVi products are based on, and backed by research accross the world and are strong on verification and validation of product performance. Some examples include:
- A Comparison of Inertial Motion Capture Systems: DorsaVi and Xsens[4]
- Validation of 3D Intertial Measurement System for Low Back Measurement[5]
- Knee Valgus and Varus Measurment System[6]
- Measurement of Ground Reaction Forces in Human Running
AI Motion Analysis
In 2024, dorsaVi released its first non-sensor based App feature, called AI Motion Analysis or Video AI, see for example Open Pose[7]
This feature in ViMove+ allows users to take video with an iPad. The App detects a human in the video, then detects each limb and extremity, and overlays these on the video. These limbs are then tracked and Range of Motion measurements are overlayed on the video.
This enables users to gain some of the insights the sensors traditionally provide, but without the need to have the sensors fitted. This significantly reduces the costs of acquiring a dorsaVi System
Workplace Assessments - Baseline and Comparative
dorsaVi offers a service where assessments are conducted for corporate clients in the Occupational Health and Safety sector. Assessments here include the fitting up of sensors to a worker, who then goes about their everyday work tasks. The sensors are small enough to not impede movements and can record data to their own internal memory. This enables data to be collected in just about any workplace.
This data is then used by Corporations to assess risk of manual handling, to design Job Descriptions, or to do comparative assessments. For example, a major mining company engaged dorsaVi to assess the vibration exposure of workers based on two different truck designs. This enabled a purchase decision based on risk exposure for drivers.
RRAM Memory
In 2025, dorsaVi has also gained an exclusive licence to access and develop a new type of Non-Volatile Memory based on research out of Singapore’s NTU[8]. The development of this ReRAM[9] (RRAM) technology is in early stages but will be crucial for the business in the coming years.
References
- ↑ Straub, Rachel K.; Powers, Christopher M. (2024). "A Biomechanical Review of the Squat Exercise: Implications for Clinical Practice". International Journal of Sports Physical Therapy. 19 (4): 490–501. doi:10.26603/001c.94600. ISSN 2159-2896. PMC 10987311 Check
|pmc=value (help). PMID 38576836 Check|pmid=value (help). - ↑ Etaati, Sepideh; Javaherat, Fatemeh; Delrobaei, Mehdi (December 2024). "Development of a Lower Limb Gait Asymmetry Index with Cyclogram Analysis Using Image Processing". 2024 12th RSI International Conference on Robotics and Mechatronics (ICRoM). pp. 008–013. doi:10.1109/ICRoM64545.2024.10903569. ISBN 979-8-3315-2973-4. Search this book on
- ↑ Kent, Peter; Haines, Terry; O'Sullivan, Peter; Smith, Anne; Campbell, Amity; Schutze, Robert; Attwell, Stephanie; Caneiro, J. P.; Laird, Robert; O'Sullivan, Kieran; McGregor, Alison; Hartvigsen, Jan; Lee, Den-Ching A.; Vickery, Alistair; Hancock, Mark (2023-06-03). "Cognitive functional therapy with or without movement sensor biofeedback versus usual care for chronic, disabling low back pain (RESTORE): a randomised, controlled, three-arm, parallel group, phase 3, clinical trial". The Lancet. 401 (10391): 1866–1877. doi:10.1016/S0140-6736(23)00441-5. ISSN 0140-6736. PMID 37146623 Check
|pmid=value (help). - ↑ Drapeaux, Alisa; Carlson, Kevin (2020-07-31). "A Comparison of Inertial Motion Capture Systems: DorsaVi and Xsens". International Journal of Kinesiology and Sports Science. 8 (3): 24–27. doi:10.7575/aiac.ijkss.v.8n.3p.24. ISSN 2202-946X.
- ↑ Charry, Edgar; Umer, Muhammad; Taylor, Simon (December 2011). "Design and validation of an ambulatory inertial system for 3-D measurements of low back movements". 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing. pp. 58–63. doi:10.1109/ISSNIP.2011.6146618. ISBN 978-1-4577-0674-5. Search this book on
- ↑ Hu, Wenzheng; Charry, Edgar; Umer, Muhammad; Ronchi, Andrew; Taylor, Simon (April 2014). "An inertial sensor system for measurements of tibia angle with applications to knee valgus/Varus detection". 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). pp. 1–6. doi:10.1109/ISSNIP.2014.6827603. ISBN 978-1-4799-2843-9. Search this book on
- ↑ "What is OpenPose? A Guide for Beginners". Roboflow Blog. 2024-04-03. Retrieved 2025-09-25.
- ↑ "Home". Corporate NTU. Retrieved 2025-09-25.
- ↑ "A New Type of Next-Gen Resistive RAM (RRAM) | Nanyang Technological University". Innovation and Entrepreneurship. Retrieved 2025-09-25.
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